QFF · Qwen/Qwen3.8-27B · Qwen3.8-Flash-Next

Every Hugging Face quant of Qwen3.8-27B, compared by what its publisher claims

All 1220 repositories Hugging Face tags as quantizations of this model on 2026-10-17. 345 publish quality numbers about their own files; 4981 published values are copied from the card text at a pinned commit and checked against it mechanically. Nothing here was re-measured by us.

Compare KLD only within a compatible measurement set; the overview mixes methods. File size is not total VRAM usage: KV cache, runtime buffers, context length and offloading matter. How to interpret and cite QFF.

Repos
1220
Publish a quality number
345
Of those, against BF16
202
Read, no quality number
254
Not yet reviewed
621
Measurements of rivals' files
244
Cards captured
2026-10-17

Read this first

  1. These are claims, not our measurements. Each publisher ran its own test. A lower KLD on one card is not evidence of a better file than a higher KLD on another.
  2. Methods rarely match. Publishers use different reference models (BF16, their own Q8_0, someone else's Q8_0), different text, context lengths and tools. Each row shows its reference; the cards below give the rest.
  3. Sizes mean different things. Sizes are as published on each card: download size, GPU memory or a single file. GiB figures are converted to GB. Vision and MTP weights are included by some publishers and not by others; each row says which size it is.

Compare quants inside one measurement

Every point in a set was measured the same way by the same party, so points in one set can be compared with each other; points from different sets cannot. Your ticks carry across sets, so you can follow a quant through every set that measured it. Quants that publish no comparable numbers are listed under Repos without extracted claims.

When one publisher measured several

These are the only tables where different publishers' files went through the same test. They are still one party's measurement, often of competitors.

The ledger

RepositoryVariantFormatSize GBSize isMean KLDTop-1PPLPPL change
vs the card's baseline
Other metrics (as published)ReferenceSource line
0xWhiteMage/Kearuga Quality-200 score is out of 180 [L65]mean_kld is Fidelity-40 mean KL, held-out is full-vocab KL [L59,L63]size is weight footprint across 3 shards + MTP head [L58]Qwen3.8 27B Kearuga (hybrid quantized)other24.85download0.016540 / 40 (100%)——kld:held-out 0.0208; top1:held-out 95.0%vs BF16L58 @ main
1bit-MONSTER/Q4_0-H32-GGUF [L42]this file, W4A4 (Q4_0-H32 Hadamard-rotated)GGUF—0.05589.3%6.096——vs BF16L42 @ main
1bit-MONSTER/UD-Q4_K_XL-MTP Unsloth's Dynamic 2.0 Q4_K_XL bundled in this repo, measured by card author [L26, L34]Reference for KLD/top-1 only called 'the reference' [L34]IQ4_XS stated as 2.3x the KLD, no absolute value [L35]Qwen3.8-27B-UD-Q4_K_XL.ggufother—0.008195.3———other or no referenceL34 @ main
6block/GGUF Q8_0GGUF28.05download——6.7900 ± 0.07391——vs BF16L60 @ main
6block/GGUF Q6_KGGUF22.56download——6.7951 ± 0.07403——vs BF16L61 @ main
6block/GGUF Q5_K_MGGUF20.08download——6.8010 ± 0.07406——vs BF16L62 @ main
6block/GGUF Q5_K_SGGUF19.55download——6.7973 ± 0.07396——vs BF16L63 @ main
6block/GGUF Q4_1GGUF18.14download——6.8105 ± 0.07411——vs BF16L64 @ main
6block/GGUF Q4_K_MGGUF17.75download——6.8103 ± 0.07414——vs BF16L65 @ main
6block/GGUF IQ4_NLGGUF17.04download——6.8491 ± 0.07484——vs BF16L66 @ main
6block/GGUF Q4_K_SGGUF16.84download——6.8291 ± 0.07440——vs BF16L67 @ main
6block/GGUF Q4_0GGUF16.77download——6.8749 ± 0.07520——vs BF16L68 @ main
6block/GGUF IQ4_XSGGUF16.41download——6.8529 ± 0.07487——vs BF16L69 @ main
6block/GGUF Q3_K_MGGUF14.21download——7.1020 ± 0.07902——vs BF16L70 @ main
6block/GGUF IQ3_MGGUF13.49download——7.0306 ± 0.07531——vs BF16L71 @ main
6block/GGUF Q3_K_SGGUF13.06download——7.2176 ± 0.08074——vs BF16L72 @ main
6block/GGUF IQ3_XXSGGUF12.46download——7.1994 ± 0.07848——vs BF16L73 @ main
6block/GGUF Q2_KGGUF11.93download——7.4700 ± 0.08388——vs BF16L74 @ main
6block/GGUF IQ2_MGGUF11.27download——7.5101 ± 0.08176——vs BF16L75 @ main
6block/GGUF IQ2_XSGGUF10.59download——7.9668 ± 0.08803——vs BF16L76 @ main
6block/GGUF PPL cells carry +/- error bars [L57-77]IQ2_XXSGGUF10download——8.5638 ± 0.09560——vs BF16L77 @ main
abhishekchohan/AWQ-INT4-FP8KV weights approx 20 GB VRAM; total approx 33.5 GB c38 at 262k ctx [L104-107]recovery % vs AWQ-INT4: c4,c8,c12,c16,c20,c24,c28,c32 [L69-76]all deltas within sampling noise [L78]needle-in-a-haystack 9/9 [L88]Qwen3.8-27B-AWQ-INT4-FP8KV (this model)AWQ20.00GPU weights————GSM8K 95.91; GPQA Diamond 60.61; Minerva Math500 79.00; ARC-Easy 82.45; ARC-Challenge 56.66; HellaSwag 56.05; Winogrande 76.56; TruthfulQA MC1 35.74other or no referenceL69 @ main
abihsoro/AWQ-INT4 Text-only, no vision tower [L16]Qwen3.6-27B-AWQ-INT4 comparison cells (c18, c20) omitted: measured on a different base model [L41-46]GDN layers got plain group quantization, not full AWQ smoothing [L19]Qwen3.8-27B-AWQ-INT4AWQ17.60download————GSM8K flexible-extract 96%; GSM8K strict-match 89%other or no referenceL27 @ main
abuarchive/2bit-oQ2 Perplexity measured with +/- error [L31]Prompt battery completed 8 of 16 (7 repetition loops, 1 token-limit failure) [L35-37]oQ2 (this model)other11.00download————ppl:tulu-3-sft-mixture 8.124 ± 0.216; PromptBattery-completed-of-16 completed 8other or no referenceL29 @ main
airagrp/mlx-mxfp8-L KLD is mean per-token D_KL(p_bf16 || p_model) in nats [L88]ppl_delta is absolute PPL difference, not percent [L76]Qwen3.8-27B-mlx-mxfp8-LMLX37.36download0.0046—6.937——vs BF16L85 @ main
airagrp/mlx-mxfp8-M delta PPL -0.042 (c25) is absolute, not percent; not mappedprose says ~32 GB / 9.2 bits per weight [L34]Qwen3.8-27B-mlx-mxfp8-MMLX31.98download0.0068—6.893——vs BF16L84 @ main
airagrp/mlx-mxfp8-S KLD over full vocabulary [L89]ppl_delta is absolute, not percent [L77]prose says effective size ~29 GB (6.5 bits per weight) vs table 26.62 GiB [L35,L83]Qwen3.8-27B-mlx-mxfp8-SMLX28.58download0.0278———ppl:wikitext-2 6.922vs BF16L83 @ main
airagrp/mlx-mxfp8-XL delta PPL vs bf16 is absolute (+0.002), not percent; c33 [L86]card prose says effective size ~39 GB, 11.2 bits per weight [L34]Qwen3.8-27B-mlx-mxfp8-XLMLX38.99download0.0037—6.937——vs BF16L86 @ main
airagrp/mlx-nvfp4-L delta PPL +0.051 (c13) is absolute, not percent [L82]prose says effective ~24 GB, 7.9 bits per weight [L35]; table size 22.31 GiBQwen3.8-27B-mlx-nvfp4-LMLX23.96unknown0.0407—6.987——vs BF16L82 @ main
airagrp/mlx-nvfp4-M effective ~23 GB, 7.4 bits per weight [L35]Qwen3.8-27B-mlx-nvfp4-MMLX23.16download————ppl:wikitext2 6.983; kld:wikitext2 0.0490vs BF16L81 @ main
airagrp/mlx-nvfp4-S Delta PPL +0.088 given, not mapped [L79]Prose says ~21 GB / 5.9 bpw [L34], which differs from table 19.15 GiBQwen3.8-27B-mlx-nvfp4-SMLX20.56download0.0573—7.024——vs BF16L79 @ main
airagrp/mlx-nvfp4-XL table size 28.84 GiB vs prose ~31 GB (8.9 bits per weight) [L34]absolute dPPL (+0.089) not mapped, key needs percentQwen3.8-27B-mlx-nvfp4-XLMLX30.97download0.0382———ppl:wikitext2 7.024vs BF16L83 @ main
aj9o9/GGUF KLD on wiki.test.raw [L87,L94]hard 5/6 not mappedQwen3.8-27B-gdn8-q6attn-iq3ffn.gguf (this mix)GGUF13.60download0.073———GLSL 0.863vs BF16L35 @ main
akopytko/NVFP4-GGUF quality table row N4_0 [L66]; speed table calls this quant 'this NVFP4' [L31]; assumed same fileQ4_0 w/o imatrix 'matches the size and density of our quant byte by byte' (14.63 GiB, 4.60 BPW) [L62]N4_0GGUF—0.066254 +/- 0.00070288.525 +/- 0.141%———vs BF16L66 @ main
Alogotron/MixQ5A6E8-GGUF Frontier table L99-106; KL/PPL from Vulkan lane, throughput from CUDA lane [L95-97]Card disclaims best/recommendation claims [L115]MixQ5A6E8-v0GGUF20.80download0.003083—6.6674——vs BF16L104 @ main
amd/Quark-AWQ-INT4-W4A16 recovery % column (c3, c6, c9, c12) not mapped; ratio of quantized to base [L36]GSM8K rows are thinking vs non-thinking mode [L29-30]Qwen3.8-27B-Quark-AWQ-INT4-W4A16AWQ———8.8250 ppl:wikitext—BFCL_single_turn 24.06%vs BF16L29 @ main
amd/Quark-Qronos-INT4-W4A16 recovery % for perplexity is inverted base/quant [L36]no model size statedQwen3.8-27B-Quark-Qronos-INT4-W4A16INT4———8.6819 ppl:wikitext—GSM8K-thinking-flexible 94.62; GSM8K-thinking-strict 94.69; GSM8K-nothink-flexible 89.99; GSM8K-nothink-strict 89.84vs BF16L29 @ main
andrew-paul/GGUF 28Q is a screening metric, % of BF16, lower primary run used [L22]files include Q3_K MTP weights [L13]KERN-eqQ4GGUF14.73download0.030233————vs BF16L17 @ main
andrew-paul/GGUF KERN-eqQ3_MGGUF13.04download0.046237————vs BF16L18 @ main
andrew-paul/GGUF KERN-eqQ3_SGGUF11.59download0.080428————vs BF16L19 @ main
andrew-paul/GGUF KERN-eqIQ2_MGGUF9.6download0.164745————vs BF16L20 @ main
anemll/anemll-forge- KL-512 trace, BF16 ppl 2.136 [L64]; M5 Max KL-512 0.0517 (c9) [L63]ANEMLL release 0.2 (ANE M6, compiled)other—0.051891.9%2.131—kld_99 0.50; ppl:verify_path 6.052; ppl:8k 7.552; ppl:64k 4.537vs BF16L60 @ main
anubhav200/exl3-4.00bpw-bf16vision turboderp's EXL3 4.00 bpw quant unchanged plus bf16 vision tower [L19-20]NLL on reference-generated tokens, slightly favourable to EXL3 [L75-76]this (EXL3 4.00 bpw)EXL3——93.50%———vs BF16L80 @ main
Ar3ntiz/qwen3_27B_side8 top-1 given as fraction 0.95 [L49]answer-level scores are counts correct out of 20 per subset [L60-64]BBH and Long context columns not in candidates for this row [L64]bpw 4.87 stated in prose only [L19]SUC1 side8 (this model)other16.36download0.0230.957.15—GSM8K 17; MATH 13; MMLU-Pro 8vs BF16L49 @ main
armin1/NVFP4-FP8-Mixed-LH size from prose '23.4 GB on disk' [L53]DeltaNLL +0.0111 [L89] not a mapped keyGSM8K thinking on, 16K cap [L94,L99]This modelNVFP423.40download0.017895.98%——kld_99 0.206; GSM8K 96.06%vs BF16L53 @ main
armin1/NVFP4-FP8-Mixed-LH-Heretic Size 22.6 GB on disk from prose [L78]DeltaNLL +0.0117 not mapped (no key) [L111]Abliterated; Heretic KL 0.0638 and refusals 28/100 measure uncensoring, not quant fidelity [L71, L81]NVFP4-FP8-Mixed-LH-Heretic (this model)NVFP422.60download0.018895.81%——kld_99 0.217; GSM8K 95.83%vs BF16L78 @ main
atakans/NVFP4-BF16head Size/speed measured on DGX Spark [L33-38]BF16 lm_head adds 1.7 GiB [L41]This modelNVFP423.62download0.029591.1%—1.022kld_99 0.309vs BF16L30 @ main
AtomicChat/GGUF [L55]Q8_0GGUF28.90download0.0006498.92%———vs BF16L55 @ main
AtomicChat/GGUF [L56]AD-Q6_KGGUF25.00download0.0010798.67%———vs BF16L56 @ main
AtomicChat/GGUF [L57]AD-Q6_K-Q5_KGGUF23.10download0.0025297.94%———vs BF16L57 @ main
AtomicChat/GGUF [L58]AD-Q5_K_MGGUF20.20download0.0041997.34%———vs BF16L58 @ main
AtomicChat/GGUF [L59]AD-Q5_K_M-Q4_K_MGGUF18.60download0.0073096.43%———vs BF16L59 @ main
AtomicChat/GGUF [L60]AD-Q4_K_MGGUF17.10download0.0112695.59%———vs BF16L60 @ main
AtomicChat/GGUF [L61]AD-IQ4_XSGGUF16.50download0.0124895.39%———vs BF16L61 @ main
AtomicChat/GGUF [L62]AD-IQ4_XS-IQ3_SGGUF14.40download0.0266093.15%———vs BF16L62 @ main
AtomicChat/GGUF [L63]AD-IQ3_SGGUF13.80download0.0324792.41%———vs BF16L63 @ main
AtomicChat/GGUF [L64]AD-IQ3_S-IQ3_XXSGGUF13.00download0.0433791.33%———vs BF16L64 @ main
AtomicChat/GGUF [L65]AD-IQ3_XXSGGUF12.10download0.0697289.13%———vs BF16L65 @ main
AtomicChat/GGUF [L66]AD-IQ2_SGGUF11.10download0.0983287.18%———vs BF16L66 @ main
AtomicChat/GGUF [L67]AD-IQ2_S-IQ2_XSGGUF10.20download0.1380784.77%———vs BF16L67 @ main
AtomicChat/GGUF [L68]AD-IQ2_XSGGUF9.9download0.1617083.48%———vs BF16L68 @ main
AtomicChat/GGUF [L69]AD-IQ2_XXSGGUF9download0.2566379.44%———vs BF16L69 @ main
AtomicChat/GGUF [L70]AD-IQ1_MGGUF8.5download0.3421276.34%———vs BF16L70 @ main
AveLabs/Perplexing-Pegasus-NVFP4 Chat benchmarks vs stock NVFP4 under identical SGLang settings [L84-91]IFEval row is prompt-level strict / loose [L89]Perplexing-Pegasus NVFP4 (chat)NVFP4—————GSM8K 87.5%; MMLU-Pro 81.6%vs BF16L89 @ main
AveLabs/Perplexing-Pegasus-NVFP4 Decision accuracy on identical requests vs original BF16 pplx-decider [L62-69]Same-answer rate and mean prob. difference omitted (no matching metric key) [L66-69]Upstream-scoring JevBench 199-200/231 also reported [L77]Perplexing-Pegasus NVFP4 (decisions)NVFP4—————WANLI 68.7%vs BF16L66 @ main
Avesed/INT4-W4A16 GSM8K 96.4% (241/250) in prose; MMLU-Pro not run [L43,L51]~20 GB size in prose without a candidate id [L23]INT4-W4A16INT4—————GSM8K 96.4 %other or no referenceL43 @ main
Avesed/INT8-W8A8 GSM8K 96.8% (242/250) in prose; MMLU-Pro not run [L35,L37]~30 GB size in prose without a candidate id [L22]INT8-W8A8INT8—————GSM8K 96.8 %other or no referenceL35 @ main
avlp12/Alis-MLX-4bit exact full-vocab KL to bf16, pooled en+ko+code [L365-375]4-bit AWQ + graded (this repo) - exact KLMLX15.41download0.059292.4%———vs BF16L369 @ main
avlp12/Alis-MLX-4bit PPL measured on pre-graded weights, not re-run on graded build (upper bound) [L349]size from at-a-glance table [L36]4-bit AWQ + graded (this repo) - PPLMLX15.40download————ppl:en 5.8450; ppl:ko 6.2609; ppl:code 1.8105vs BF16L36 @ main
avlp12/Alis-MLX-6bit PPL table measured on pre-graded weights, not re-run [L308-310]KL 0.00499 / top-1 97.5% is the graded build, exact full-vocab KL over ~100K en+ko+code tokens [L316]graded-allocation before/after table (L274-279) has unlabeled metric; omittedstated 6.501 bits per weight in prose [L250]6-bit (this repo)MLX21.90download0.0049997.5——ppl:en 5.7924; ppl:ko 6.1018; ppl:code 1.6854vs BF16L30 @ main
avlp12/Alis-MLX-6bit KL 0.00311 in prose [L319]; compared against a third-party 6-bit [L319-323]6-bit (this repo), WikiText-2 ctx 1024 x35 windowsMLX—0.0031197.54———vs BF16L320 @ main
avlp12/Alis-MLX-8bit PPL measured on pre-graded weights, not re-run [L303]KL/top-1 vs bf16 from exact-KL sweep [L318]8-bit (this repo)MLX27.90download0.0010598.45——ppl:en 5.7760; ppl:ko 6.0987; ppl:code 1.6815 †vs BF16L29 @ main
avyukth/AWQ-INT4 GSM8K is 39/40 on a 40-problem subset, not the full test set [L75,L79]Size on disk 18 GB and weights in VRAM 17.68 GiB in separate table [L38-39]No base comparison reportedAWQ INT4 (compressed-tensors)AWQ—————GSM8K 97.5reference not statedL75 @ main
ayushcluster00/Heretic-Abliterated-Uncensored-GGUF-Config KL vs base measures abliteration damage, not quantization [L119,L126-130]refusals 0-1/100 [L130]file sizes in L136-163 are not tied to any quality metricRVN (this repo)GGUF—0.0085————other or no referenceL130 @ main
baa-ai/RAM-24GB-MLX MMLU is a 100-question smoke test, one question is within noise [L49]in-memory footprint ~24 GiB [L31]canary: 24 SOPs x 3 seeds = 144 paired events [L64]RAM-24GB (mixed, 7.52 bpw)MLX25.70download————canary_invented_x 0.000; canary_recall 0.997; canary_branch 0.986vs BF16L33 @ main
bernhardbrieger/GPTQ-Int4 absolute perplexity on one 260-token sample, sanity check only [L237]card states no base-vs-quant benchmark or diff [L270-273]also reports 3/3 functional smoke and 6/6 vision probes [L242-264]Qwen3.8-27B-GPTQ-Int4GPTQ20.98download——2.729——other or no referenceL34 @ main
bernhardbrieger/NVFP4 absolute perplexity on single 260-token sample, n=260 tokens [L223,c11]size 20.59 GB from safetensors index (19.7 main + 0.85 MTP) [L37-38]bf16 55.56 GB reference size only, no bf16 quality number [L37,L47-50]Qwen3.8-27B-NVFP4NVFP420.59download——2.799——other or no referenceL37 @ main
bg-digitalservices/ROCmFP4-STRIX-GGUF same-top is share of tokens where quant picks same top token as F16 [L42]base type 4.49 bpw label at L34 not tied to this file's total bpw [L34]this file (ROCmFP4 STRIX recipe, LM head Q6_K)GGUF15.38download————kld:EN 0.034788; kld:DE 0.033229; top1:EN 91.43%other or no referenceL46 @ main
billmccartney/exl3-8.00bpw size is safetensors shard bytes [L195]; mean KL unadjusted, no BF16 self-noise pass [L193-194]EXL3 8.0bpwEXL329.34download0.00142020———ppl:wikitext2_r100 6.94884191vs BF16L38 @ main
bowmanslayer/W4A16-vision eval table does not say which variant (-vision or -vision-mtp) was run; both from same quantization run [L45]thinking ON scores not comparable to leaderboards with thinking off [L109-L111]truncation rates reported separately [L119-L130]W4A16-visionINT418.00download————MMLU 84.00; MMLU_ex_truncation 95.45; CMMLU 84.67; CMMLU_ex_truncation 92.03; C-Eval 78.67; C-Eval_ex_truncation 88.06; ARC-C 94.00; ARC-C_ex_truncation 94.63; TruthfulQA-MC1 85.33; TruthfulQA-MC1_ex_truncation 92.09; GSM8K 97.00; GSM8K_ex_truncation 98.98; MATH-500 77.00; MATH-500_ex_truncation 79.38; BBH 88.67; BBH_ex_truncation 97.01; HumanEval 82.32; HumanEval_ex_truncation 91.22; IFEval-strict 79.00; IFEval-strict_ex_truncation 91.57other or no referenceL42 @ main
btbtyler09/GPTQ-4bit size includes BF16 vision encoder and MTP head; text decoder alone ~19 GB [L79]calibration: evol-codealpaca + C4, 256 samples [L65-66]Qwen3.6-27B vanilla GPTQ +8.45% / FOEM +1.95% figures are a different model, omitted [L61]GPTQ 4-bit FOEM (this)GPTQ21.00download——6.4982+0.81%—vs BF16L77 @ main
btbtyler09/GPTQ-8bit Degradation cell reads -0.02% (within noise) [L82]Size includes BF16 vision encoder and MTP head [L73]GPTQ 8-bit (this)GPTQ31.00download———-0.02% (within noise, effectively lossless)ppl:wikitext-2 6.4446vs BF16L70 @ main
Bucoid/Heretic-Ara-16GB-VRAM-IQ4-XS-MTP-GGUF kld_99 is the 99.9% KL quantile [L37]size 13 GiB, 13.3 GiB with MTP [L31]same table duplicated in English L62-71IQ4_XS-3.0GGUF13.96download0.027832 ± 0.00032492.867% ± 0.067%7.046980 ± 0.045498—kld_99 1.162850vs BF16L31 @ main
Bucoid/Heretic-Ara-16GB-VRAM-IQ4-XS-MTP-GGUF older release; kld_99 is 99.9% quantile [L37]IQ4_XS-2.0GGUF13.64download0.033398 ± 0.00030891.619% ± 0.072%7.102940 ± 0.046017—kld_99 1.130034vs BF16L31 @ main
Bucoid/IQ4-XS-MTP-16GB-VRAM-GGUF kld_99 is the 99.9% KL quantile [L25]table says GB but prose says GiB for 12.9 [L9]IQ4_XSGGUF12.90download0.03168 ± 0.0002991.845% ± 0.071%7.0875 ± 0.0459——vs BF16L19 @ main
Bucoid/Uncensored-IQ4-XS-MTP-16GB-VRAM-GGUF table cell says GB, prose says 12.9 GiB [L22,L52,L60]English table omits own max KLD, mean dp, RMS dp values; taken from Chinese table [L35,L38,L39]99.9% KL quantile, not 99.0%IQ4_XSGGUF12.90download0.03268 ± 0.0003091.655% ± 0.072%7.1481 ± 0.0465—kld_max 16.017(更小); kld_999 1.075other or no referenceL35 @ main
cafonez/ROCmI4-MTP-GGUF perplexity corpus not stated [L206]W4A4 path adds ~5.4% PPL on a 25-chunk sample [L208-209]ROCmI4 artifactGGUF———6.3068+6.1%HumanEval 94.5; HumanEval+ 91.5other or no referenceL198 @ main
caiovicentino1/GPTQ-gs64-FOEM tiny sub-samples, indicative only [L97]no BF16 baseline [L80]4-bit gs64 with fp16/bf16 skip-list layers [L37]Qwen3.8-27B-GPTQ-gs64-FOEMGPTQ27.29download————ppl:C4 9.90; HellaSwag 0.35; ARC-Challenge 0.45; MMLU 0.47; GSM8K 0.75other or no referenceL37 @ main
Capicua25x/MXFP4-Quark-RDNA4 Accuracy table L171-184; +/-2 items noise band [L169]Throughput tables are speed only and omitted [L106-157]C (this model) MXFP4 @ bf16 KVMXFP4—————GSM8K think flex 0.98; GSM8K think strict 0.96; IFEval inst 0.95; IFEval prompt 0.91; GPQA-Diamond 0.92; tau2-telecom 0.904; tau2-airline 0.840; tau2-retail 0.767vs BF16L173 @ main
cdiamond/iMatrix-NVFP4-MTP-GGUF short WikiText-2 control; author says gap to Q4_1 is within error [L55]iMatrix NVFP4 MTP GGUF (mixed precision)GGUF17.10download——6.1197——other or no referenceL24 @ main
Chungulus/EXL3 top-1 agreement reported as fraction 0.943359, not a percent [L50]top-5 overlap equals the same 0.943359 [L51]; median KL 0.00308530, P95 KL 0.02567411 and logit cosine 0.99754137 also reported, not mappedonly 512 token positions evaluated [L42]quantizer config states bits 4.0 and head_bits 6.0 [L21]Qwen3.8-27B EXL3 (bits 4.0)EXL319.11download0.007593370.943359—-1.2346%—reference not statedL22 @ main
Chungulus/FP8 Median KL c2, P95 KL c4, top-5 set overlap c7, logit cosine c8 [L47-52]; top-1 value printed as fraction 0.968750 [L50]Only 64 token positions evaluated [L42]Artifact size 29.127 GiB (c9) in provenance prose, not in metrics table [L22]Qwen3.8-27B FP8FP8—0.005752270.968750—-0.5484%—reference not statedL46 @ main
Chungulus/GPTQ-INT4-G128 Top-1 agreement printed as fraction 0.935547 not percent [L50]Median KL 0.00990394 and P95 KL 0.08463629 not mapped to a metric key [L47-48]Top-5 overlap 0.912109 and logit cosine 0.99503607 not mapped [L51-52]Reference model for KL/PPL not named in digest [L40-44]GPTQ-INT4-G128GPTQ19.58download0.025188780.935547—+4.0345%—reference not statedL22 @ main
Chungulus/GPTQ-INT4-G32 top1 and top5 overlap given as fractions (0.93...), not percent [L50-L51]size is artifact size from prose, not the metrics table [L22]reference model not named in validation section [L40-L44]GPTQ-INT4-G32GPTQ21.01download0.017323630.933594—+3.2276%—reference not statedL22 @ main
Chungulus/GPTQ-INT8 Top-1 agreement printed as fraction 0.978516 not percent [L50]P95 KL 0.00221081 not mapped (key is kld_99) [L48]Artifact size 29.655 GiB [L22]; reference model not named, 512 positions only [L42]Qwen3.8-27B GPTQ-INT8GPTQ31.84download0.00079757——+0.1411%—reference not statedL22 @ main
Chungulus/MLX-3bit-Group32 top1_token_agreement is a fraction (0.83), not percent [L128]BF16 reference perplexity 9.847 [L125]; only 106 positions [L122]mean KL 0.0918 given in prose only [L124]artifact size 15.266 GB decimal [L38]Qwen3.8-27B MLX 3-bit group32MLX15.27download0.09177716048258655—perplexity": 10.580787393174923,——vs BF16L38 @ main
Chungulus/MLX-4bit quality proxy is mean semantic similarity, stated as not ground-truth accuracy [L55]exact_matches 3 [L106]acceptance_rate and tps are speed-side, not mapped [L94-95]Qwen3.8-27B-MLX-4bitMLX16.95download————mean_semantic_similarity 0.948318076133728reference not statedL38 @ main
Chungulus/MLX-4bit-Group32 top1 value is a fraction (0.943), not percent [L128]reference BF16 perplexity 9.847 [L125]; perplexity delta 0.198 [L127]very small sample: 106 positions [L122]MLX affine 4-bit group size 32MLX18.63download0.018750246403352270.943396226415094perplexity": 10.045437946476026,——vs BF16L38 @ main
Chungulus/MLX-5bit-Group128 BF16 reference ppl 9.8473 (c8), candidate ppl lower than reference, delta -0.0830 (c10) [L125-127]top1 agreement is a fraction 0.9906, not percent [L128]Only 106 positions scored [L122]MLX-5bit-Group128MLX19.47download0.0078793873764433950.990566037735849perplexity": 9.764229178940486,——vs BF16L38 @ main
Chungulus/MLX-5bit-Group32 top1_token_agreement is a fraction (0.9528...) not a percent [L128]perplexity_delta 0.0367 absolute, not percent [L127]Size is decimal GB artifact size [L38]Qwen3.8-27B MLX-5bit-Group32MLX21.99download—0.952830188679245perplexity": 9.883995913928073,——vs BF16L38 @ main
Chungulus/MLX-6bit-Group32 top1 value is a 0-1 fraction not a percent [L128]ppl_delta_abs is absolute perplexity difference, not percent [L127]KL measured with float16-stored BF16 log-probs, finite-storage error [L132]Very small sample (106 positions) [L122]MLX-6bit-Group32MLX25.35download0.0013912858898347280.990566037735849perplexity": 9.812861698114856,—mean_semantic_similarity 0.9533392310142517vs BF16L38 @ main
Chungulus/MLX-8bit-Group32 top1 is a fraction 0.9811, not percent [L128]only 106 positions [L122]perplexity_delta 0.0060 absolute (c10) [L127]Qwen3.8-27B MLX-8bit-Group32MLX32.07download0.00031837032018405090.981132075471698perplexity": 9.853291632468812,——vs BF16L38 @ main
Chungulus/MLX-MXFP8 semantic similarity described as a measured proxy, not ground-truth accuracy; reference not stated [L55,L105]exact_matches 4 [L106]size 29.553 GB decimal [L38]Qwen3.8-27B MLX-MXFP8MLX29.55download————mean_semantic_similarity 0.9667035639286041reference not statedL38 @ main
Chungulus/MLX-oQ4e-MTP Only a proxy is reported: mean semantic similarity 0.899, 4 exact matches, described as a measured proxy not ground-truth accuracy [L55, L144-145]Artifact 16.995 GB decimal [L38]; peak memory 17.79 GB, average generation 21.8 tok/s [L147-148]Qwen3.8-27B MLX-oQ4e-MTPMLX17.00download————mean_semantic_similarity 0.8991085827350617reference not statedL38 @ main
Chungulus/MLX-oQ5 top1_token_agreement printed as fraction 0.981..., not percent [L167]perplexity_delta -0.0966 (c10) is absolute not percent, omitted [L166]bpw stated only as 'mixed around 5.5 bpw' [L28]; size is decimal GB [L38]MLX-oQ5MLX20.31download0.006031055143981610.981132075471698perplexity": 9.75069257534557,——vs BF16L38 @ main
Chungulus/MLX-oQ8 decimal GB artifact size [L38]only 106 positions, tiny sample [L161]bit width described as mixed around 8.6 bpw, no numeric cell [L28]mean KL only in JSON prose [L163]Qwen3.8-27B MLX-oQ8MLX30.02download0.0007939068249092912———top1_agreement_fraction 1.0vs BF16L38 @ main
cloudnathan5/NVFP4a16-GPTQ Checkpoint size 28.6 GB vs 55.6 GB BF16 stated in prose [L30]Qwen3.8-27B-NVFP4a16-GPTQ (this checkpoint)NVFP4————+2.37%ppl:wikitext-2 6.7129vs BF16L98 @ main
cloudnathan5/NVFP4a4-FP8-GPTQ Checkpoint size stated in prose, 2.42x smaller than BF16 [L29]Latency table is speed only [L58-65]this checkpointNVFP423.00download———+4.64%ppl:wikitext2 6.8614vs BF16L29 @ main
cloudnathan5/NVFP4a4-GPTQ size from prose, not the perplexity table [L28]this checkpoint (NVFP4a4 GPTQ)NVFP428.60download——6.7733+3.29%—vs BF16L28 @ main
CodeMasterCody3D/taardis-27b-full-ternary V1 listed as 7.16 GB in file table [L35] and 7.17 GB in comparison table [L63]TAARDIS-27B-Full-Ternary-V1.gguf (weights alone)other7.2download——13.61 ppl:wikitext——reference not statedL35 @ main
CodeMasterCody3D/taardis-27b-full-ternary V2 is a lossless repack of V1, same weights [L53-56]KV-cache ternary types cost +11.2% to +11.4% PPL, q4_0 +0.16% vs f16 KV [L235-239]; not weight-quant quality so omittedTAARDIS-27B-Full-Ternary-V2-1.75bit.gguf (weights alone)other5.9download——13.6114 ppl:wikitext——reference not statedL32 @ main
cometkim/nvfp4full-NInfer 3-round means with +/- spread [L226-228]Artifact is 18.07 GiB on disk; device weights 16.02 GiB no vision/no spec [L191,L199]Quality tables describe v2-era weights byte-preserved into v3 [L117]nvfp4full .ninfer (INT8 group-64 KV, native 262,144)NVFP4—————GPQA-Diamond 87.88 ± 2.62; AIME 2026 93.33 ± 3.34; LongBench v2 short 67.41 ± 1.95other or no referenceL226 @ main
curvedinf/GPTQ-INT8-W8A8-GS128 KLD 0.011 is vs the gs32 reference, not BF16; gate 0.02 [L48]Activation quantization adds only +0.0032 KLD on top (no candidate id) [L49]GPTQ INT8 W8A8 GS128GPTQ—0.011————other or no referenceL48 @ main
CySpiegel/Int4-AutoRound size from prose '19 GB on disk' [L21]low GSM8K absolutes attributed to harness artifact for both sides [L49]calibration pile-10k, 4-bit group 128 [L26,L27]This model (INT4)AutoRound19.00download————GSM8K 5-shot 43.2other or no referenceL21 @ main
Davidmg0815/MTP-GGUF HumanEval+ 145/164 [L430]; variant MATH-500 table L466 is a different token budget than the 98.0% headline [L48]German decimal commas in sourceqwen3.8-27b-Q8_0.ggufGGUF273.0download————HumanEval+ 88,4 %other or no referenceL48 @ main
Davidmg0815/MTP-GGUF HumanEval+ 148/164 [L428]qwen3.8-27b-Q6_K.ggufGGUF210.0download————HumanEval+ 90,2 %other or no referenceL68 @ main
dbirks/NVFP4-AutoRound values shown with +- confidence intervals [L89-91]MMLU-Pro subsample not comparable with full-split numbers elsewhere [L94-95]size from prose, 20.6 GB on disk [L25]NVFP4 W4A4NVFP420.60download————GSM8K 0.905 ±0.016; HumanEval 0.927 ±0.040; MMLU-Pro 0.796 ±0.021vs BF16L25 @ main
dbirks/W4A16-AutoRound Size 19.5 GB on disk from prose [L26]; effective bits/weight about 4.1 [L105]MMLU-Pro is 100 questions per subject, internal reference only [L88-89]W4A16 AutoRound (int4)AutoRound19.50download————GSM8K 0.917 ±0.015; HumanEval 0.957 ±0.031; MMLU-Pro 0.826 ±0.019vs BF16L26 @ main
ddalcu/MLX-Serve-6bit 6.50 bits per weight stated in prose [L21]Decode 46.3 tok/s with MTP on, M4 Max [L46]6-bit (this one)MLX23.20download0.10295.0%———vs BF16L46 @ main
ddalcu/MLX-Serve-iQ-MLX-3.8bpw resident weights as shipped [L48]12.89 GB on disk total quantized [L39]iQ-MLX (this one)MLX13.40resident0.46681.6%———vs BF16L48 @ main
dealignai/Bonsai-2-27B-1bit-CRACK-GGUF MMLU delta vs base -1.23 pp [L107]refusal-rate tables are not quality-vs-reference metrics; omittedbpw label 2.13 [L54] conflicts with header 1.75 bpw [L33]; unclearCRACK PTQ1_0GGUF—————MMLU 38.46%other or no referenceL54 @ main
dealignai/Bonsai-2-27B-Ternary-CRACK-GGUF MMLU delta vs base -0.62 pp [L107]Refusal-rate tables (HarmBench-320, per-category, per-reasoning-mode) are not quality metric keys [L64-100]Card states 7.2 GB file size in prose [L33]CRACK PQ2_0GGUF—————MMLU 39.91%other or no referenceL54 @ main
dealignai/JANG_2D-CRACK MMLU delta -3.16pp [L118]base MMLU differs by profile: 80.0 here vs 88.77 for 4D/6D [L118-119]JANG_2D CRACKother11.00download————MMLU_base 80.0%other or no referenceL118 @ main
dealignai/JANG_4D-CRACK CRACK abliterated weights, not a plain quant; MMLU delta -1.05pp vs base includes abliteration effect [L72,L87]base MMLU 88.77% [L119]4D (JANG_4D CRACK, ~4-bit affine imatrix MLX)other17.00download————MMLU 87.72%other or no referenceL119 @ main
dealignai/JANG_6D-CRACK CRACK is an abliteration; MMLU compares abliterated vs base, not quant vs bf16 [L84]HarmBench compliance is a refusal metric, not mapped [L85]JANG_6D CRACKother24.00download————MMLU 89.12%; MMLU_base 88.77%other or no referenceL120 @ main
dealignai/MXFP8-CRACK abliteration compliance score, not a quantization fidelity metric [L77-78]L83 HarmBench row label mixes compliance and refuses; value 100.0% taken from per-quant table [L83,L119]MXFP8 CRACKMXFP827.00download————MMLU 86.67%; HarmBench-240 100.0%other or no referenceL82 @ main
Derpyhue/abliterated-2.55bpw-SC-SH median KLD c9, p90 KLD c10 [L46]Perplexity (increase) column c11 left out: ambiguous metric, BF16 reference 1.3418 is not a normal perplexity [L45-46]predicted KL 0.0706 (sc_optimize estimate) c1 is not a measurement [L28]weights count quantized tensors only; about 11.81 GB total on disk [L41]measured against abliterated BF16, not comparable with main series [L19]2.55 H4 -shother8.4text weights (excl. vision, MTP)0.0442————vs BF16L27 @ main
Derpyhue/abliterated-2.60bpw-SC-SH Weights (GiB) counts quantized tensors only; ~11.96 GB on disk [L41]PPL cell reads 1.4048 (+4.7%) vs BF16 reference 1.3418 [L47]; median KLD 0.0023 and p90 KLD 0.122 also reported, not mappedmeasured against the abliterated BF16 reference, not comparable with main-series tables [L37]2.60 H4 -sh (this repo)other8.6text weights (excl. vision, MTP)0.0417—1.4048 (+4.7%)——vs BF16L27 @ main
Derpyhue/abliterated-2.65bpw-SC-SH weights GiB counts quantized tensors only; ~12.11 GB total on disk [L41]reference is the abliterated BF16, not comparable with main-series tables [L37]'Perplexity (increase)' column (1.3986 (+4.2%)) is ambiguous; not mapped [L48]sc_optimize predicted KL 0.0616 is an estimate [L28]2.65 H4 -shother8.8text weights (excl. vision, MTP)0.0377————vs BF16L27 @ main
Derpyhue/exl3-2.65bpw-SC size is full repo footprint [L37]Perplexity values near 1.37 look like a ratio or relative figure; basis not stated [L39]predicted KL 0.0587 is an sc_optimize estimate, not measured [L25]2.65 H4EXL312.11download0.032903—1.3795——vs BF16L24 @ main
Derpyhue/exl3-2.65bpw-SC-SH perplexity values near 1.37 look like a ratio or differently-based metric; basis unclear [L40-48]median KLD c12 and p90 KLD c13 not mappedsc_optimize predicted KL 0.0587 is an estimate, not a measurement [L25]2.65 H4 -shEXL312.11download0.032541—1.3739——vs BF16L24 @ main
Derpyhue/exl3-2.67bpw-SC-SH median KLD c17, p90 KLD c18 [L44]size is full repo footprint [L38]predicted KL 0.0571 is an sc_optimize estimate, not measured [L25]2.67 H4 -shEXL312.17download0.031061—1.3748——vs BF16L24 @ main
Derpyhue/exl3-2.70bpw-SC size is full repo footprint [L37]predicted KLD 0.0549 is an sc_optimize estimate, not measured [L25]2.70 H4EXL312.26download0.030083—1.3746——vs BF16L24 @ main
Derpyhue/exl3-2.70bpw-SC-SH size is full repo footprint [L38]perplexity values near 1.37 as printed; basis unclear [L46]2.70 H4 -shEXL312.26download0.030040—1.3748——vs BF16L24 @ main
Derpyhue/exl3-2.75bpw-SC size on disk is the full repo footprint [L37]median/p90 KLD not mapped (c32, c33) [L46]predicted KL 0.0514 c1 is an sc_optimize estimate, not measured [L25]2.75 H4EXL312.41download0.027894—1.3725——vs BF16L24 @ main
Derpyhue/exl3-2.75bpw-SC-SH Bold row = this repo [L38,L48]Predicted KL 0.0514 (c1) is an sc_optimize estimate, not the measured value [L25]2.75 H4 -shEXL312.41download0.026945—1.3685——vs BF16L24 @ main
Derpyhue/exl3-2.80bpw-SC size is full repo footprint [L37]perplexity ~1.37 is not comparable to usual PPL values; reported as printedpredicted KL 0.0481 (sc_optimize estimate) c1 omitted [L25]2.80 H4EXL312.57download0.025571—1.3690—kld_median 0.001298; kld_p90 0.074292vs BF16L24 @ main
Derpyhue/exl3-2.80bpw-SC-SH size is full repo footprint [L38]predicted KL 0.0481 (sc_optimize estimate, c1) is not a measurement [L25]2.80 H4 -shEXL312.57download0.025098—1.3688——vs BF16L24 @ main
deucebucket/Cerebellum-GGUF self-reported, not HF-verified [L108]size is weight-file arithmetic [L96]ppl 145 chunks ctx 512 [L117]Qwen3.8-27B Cerebellum Q2_K Mixed 12GBGGUF12.00download——7.4842 +/- 0.09908——other or no referenceL83 @ main
dfed24/GPTQ-GGUF reference is Q8_0, not bf16 [L38]this file (llama.cpp vs unsloth Q8_0 reference)GGUF—————kld:wiki 0.0112; top1:wiki 95.70; kld:code 0.0125; top1:code 99.02; kld:multilingual 0.0084; top1:multilingual 96.40vs BF16L44 @ main
drawthingsai/GGUF Size includes MTP weights; size without MTP 9.29 GiB [L78]bpw 2.96 appears only in the checkpoint name [L56]DT-bpw2.96-IQ3_XXSGGUF10.43download————AIME 2026 100.00%; GPQA Diamond 86.36%; IFEval 93.90%; BFCL v4 (1k) 68.06%vs BF16L78 @ main
drawthingsai/GGUF Size includes MTP weights; size without MTP 7.78 GiB [L79]DT-bpw2.48-IQ2_SGGUF8.8download————AIME 2026 100.00%; GPQA Diamond 77.27%; IFEval 93.16%; BFCL v4 (1k) 69.56%vs BF16L79 @ main
drawthingsai/GGUF Vision encoder paired with DT-IQ3_XXS language model, 100-sample subsets; size 888.01 MiB (MiB not a supported unit); MSE/cosine not mapped [L93,L106]mmproj BF16 (vision encoder)GGUF—————RealWorldQA 73%; OCRBench 86%vs BF16L93 @ main
drawthingsai/GGUF 100-sample subsets; size in MiB [L94,L106]mmproj FP16 (vision encoder)GGUF—————RealWorldQA 73%; OCRBench 86%vs BF16L94 @ main
drawthingsai/GGUF 100-sample subsets; size in MiB [L95,L106]mmproj Q8_0 (vision encoder)GGUF—————RealWorldQA 71%; OCRBench 86%vs BF16L95 @ main
drawthingsai/GGUF 100-sample subsets; size in MiB [L96,L106]mmproj Q6_K (vision encoder)GGUF—————RealWorldQA 73%; OCRBench 86%vs BF16L96 @ main
drawthingsai/GGUF 100-sample subsets; size in MiB [L97,L106]mmproj Q5_K (vision encoder)GGUF—————RealWorldQA 74%; OCRBench 86%vs BF16L97 @ main
drawthingsai/GGUF 100-sample subsets; size in MiB [L98,L106]mmproj Q4_K (vision encoder)GGUF—————RealWorldQA 71%; OCRBench 85%vs BF16L98 @ main
DuoNeural/TAP-DPQ-v2-GGUF PPL lower than BF16 is claimed [L45,L154]; small N benchmarksQwen3.8-27B-TAP-DPQ-v2-Q4_K_M.ggufGGUF16.81download——3.6239 🔥—GSM8K 87.0% (87/100); HumanEval 60.0% (30/50); ToolCalling 93.3% (14/15)vs BF16L58 @ main
DuoNeural/TAP-DPQ-v2-GGUF Qwen3.8-27B-TAP-DPQ-v2-IQ3_XXS.ggufGGUF11.96download——4.0114—GSM8K 90.0% (90/100); HumanEval 56.0% (28/50); ToolCalling 93.3% (14/15)vs BF16L59 @ main
DuoNeural/TAP-DPQ-v2-GGUF Qwen3.8-27B-TAP-DPQ-v2-IQ2_M.ggufGGUF10.78download——6.3353—GSM8K 88.0% (88/100); HumanEval 54.0% (27/50); ToolCalling 93.3% (14/15)vs BF16L60 @ main
DuoNeural/TAP-DPQ-v2-GGUF Card lists IQ1_S at ~2.21 bpw [L62] which is above IQ2_XXS ~2.06Qwen3.8-27B-TAP-DPQ-v2-IQ1_S.ggufGGUF7.6download——6.0671 ⚡—GSM8K 45.0% (45/100); HumanEval 18.0% (9/50); ToolCalling 20.0% (3/15)vs BF16L62 @ main
eaddario/GGUF top1_pct from 'Same Top-P' column [L118]benchmark table also lists F16 only via PPL row; speed table (L139-164) omittedQwen3.8-27B-Q8_0GGUF27.00download0.001442 ±0.00006198.134 ±0.0356.671738 ±0.042653—ARC Challenge 64.0000 ±1.7539; GPQA-Diamond 32.3232 ±3.3323; HellaSwag 82.40; MMLU-Redux 82.2667 ±1.3956; Truthful QA 33.4667 ±1.7242; WinoGrande 75.7333 ±1.5664; Avg Score 61.70other or no referenceL118 @ main
eaddario/GGUF top1_pct from 'Same Top-P' column [L117]Qwen3.8-27B-Q7_KGGUF24.00download0.002050 ±0.00008697.913 ±0.0376.678988 ±0.042743—ARC Challenge 64.2667 ±1.7510; GPQA-Diamond 32.8283 ±3.3457; HellaSwag 82.27; MMLU-Redux 82.2667 ±1.3956; Truthful QA 33.7333 ±1.7276; WinoGrande 76.0000 ±1.5605; Avg Score 61.89other or no referenceL117 @ main
eaddario/GGUF top1_pct from 'Same Top-P' column [L116]Qwen3.8-27B-Q6_KGGUF21.00download0.004195 ±0.00016797.225 ±0.0436.661399 ±0.042549—ARC Challenge 63.7333 ±1.7567; GPQA-Diamond 33.8384 ±3.3711; HellaSwag 82.40; MMLU-Redux 81.8667 ±1.4078; Truthful QA 34.0000 ±1.7309; WinoGrande 76.0000 ±1.5605; Avg Score 61.97other or no referenceL116 @ main
eaddario/GGUF top1_pct from 'Same Top-P' column [L115]Qwen3.8-27B-Q5_KGGUF18.00download0.009866 ±0.00021695.745 ±0.0526.696776 ±0.042814—ARC Challenge 64.0000 ±1.7539; GPQA-Diamond 31.3131 ±3.3042; HellaSwag 82.40; MMLU-Redux 82.0000 ±1.4038; Truthful QA 32.9333 ±1.7172; WinoGrande 76.1333 ±1.5576; Avg Score 61.46other or no referenceL115 @ main
eaddario/GGUF top1_pct from 'Same Top-P' column [L114]Qwen3.8-27B-Q4_KGGUF14.00download0.022733 ±0.00032493.505 ±0.0646.736913 ±0.043056—ARC Challenge 63.4667 ±1.7594; GPQA-Diamond 32.3232 ±3.3323; HellaSwag 82.00; MMLU-Redux 81.3333 ±1.4237; Truthful QA 34.4000 ±1.7358; WinoGrande 75.4667 ±1.5722; Avg Score 61.50other or no referenceL114 @ main
eaddario/GGUF top1_pct from 'Same Top-P' column [L113]Qwen3.8-27B-Q3_KGGUF11.00download0.082257 ±0.00067187.799 ±0.0856.960375 ±0.043746—ARC Challenge 62.9333 ±1.7648; GPQA-Diamond 34.3434 ±3.3832; HellaSwag 81.20; MMLU-Redux 82.6667 ±1.3831; Truthful QA 34.6667 ±1.7389; WinoGrande 74.8000 ±1.5864; Avg Score 61.77other or no referenceL113 @ main
eaddario/GGUF top1_pct from 'Same Top-P' column [L112]Qwen3.8-27B-Q2_KGGUF8download0.288783 ±0.00149677.247 ±0.1098.213575 ±0.052813—ARC Challenge 66.2667 ±1.7276; GPQA-Diamond 30.3030 ±3.2743; HellaSwag 76.00; MMLU-Redux 78.1333 ±1.5103; Truthful QA 32.1333 ±1.7063; WinoGrande 71.8667 ±1.6430; Avg Score 59.12other or no referenceL112 @ main
eaddario/GGUF top1_pct from 'Same Top-P' column [L111]rhoPPL (c8) is a correlation, omittedQwen3.8-27B-Q1_LGGUF5.6download0.931233 ±0.00288760.773 ±0.12715.076645 ±0.103470—ARC Challenge 52.5333 ±1.8246; GPQA-Diamond 23.7374 ±3.0314; HellaSwag 62.53; MMLU-Redux 54.8000 ±1.8185; Truthful QA 30.0000 ±1.6744; WinoGrande 63.2000 ±1.7621; Avg Score 47.80other or no referenceL111 @ main
EliovpAI/W3Rot-INT3-Paiton-RDNA4 size 9.55 GB from header line [L27], not the same tableMMLU-Pro log-likelihood subset [L130]GSM8K/HumanEval/needle not re-run for these weights [L148]These weights (12 Oct 2026 scale-distilled)other9.6download————kld:decode 0.0673; kld:prefill 0.0818; top1:decode 89.70; top1:prefill 88.38; kld:long_decode 0.0746; kld:long_prefill 0.0909; kld:r9700_served 0.1395; top1:r9700_served 88.14 %vs BF16L27 @ main
empero-ai/Ridge-GGUF PPL 7.82 +/- 0.14 [L111]card also lists 12.59 GB size [L59]Ridge-3.7bpwGGUF12.59download——7.82 ± 0.14+9.3 %—vs BF16L111 @ main
EschaLabs/Escha-W2 2-bit quant; Commonsense-6 ran on L40, GPQA/LCB on RTX 4090 vs FP8 on different box [L482-485]Benchmarks measured with SPEC=0 [L298]Escha-W2other10.15download————boolq 88.20; hellaswag 80.19; piqa 81.18; winogrande 74.98; GPQA-Diamond 88.38; LiveCodeBench v6 86.81other or no referenceL435 @ main
fasolack/W4A16 Size stated in prose as about 19.5 GB vs about 52 GB BF16 [L35]Own BF16 baseline was not measured [L230-231]HumanEval gap to reference partly sampling noise, rest likely calibration mix [L246-258]Table values include +/- confidence half-widths [L276-279]This build (int4 W4A16)INT419.50download————GSM8K 97.04% ± 0.47%; MMLU-Pro 81.36% ± 1.01%other or no referenceL35 @ main
FedericoSciuca/depthaware-GGUF excess over reference +0.4640 c6 is absolute PPL difference, not percent [L36]perplexity is a proxy, not a task score [L80]this model, measured band 51-63 (depth-aware 2-bit)GGUF12.48download——6.0590——vs a Q8_0L36 @ main
finalvent/OddEye-0.1-27B-NVFP4 task-specific fine-tune (self-distillation) on Qwen3.8-27B, not a plain quant [L121-122]LLM-graded, read as relative comparison not absolute accuracy [L94]images/hour on RTX PRO 6000, 32 concurrent [L88]OddEyeNVFP420.60download————ReferenceFactsCaptured 0.53; ReferenceFactsContradictedPct 11.3%; OverconfidentPerPhoto 0.69; ClearErrorsPerPhoto 0.26vs BF16L77 @ main
fraQtl/Hi-Fi-GGUF KLD cells include percent change vs canonical in parentheses [L34]task benchmark differences are statistical ties per card [L59-60]fraQtl Hi-Fi (this repo)GGUF16.46download————kld:code/math 0.12297 (−45.3%); kld:general 0.23120 (−18.0%); GSM8K 95.0% (190/200); MATH-500 87.6% (438/500)vs a Q8_0L34 @ main
Freaksterz/SmoothQuant-W8A8-INT8 floor-free KLD 0.00371 (c7), PPL delta-ln +0.0030 (c9) and DFlash2 acceptance length 4.34 (c10) also in table [L29]size from prose, 29 GB on disk [L103]v3 W8A8 (main)INT829.00download0.0055696.9%———vs BF16L29 @ main
Frosty40/GGUF size shown is the -MTP file; non-MTP file listed separately [L28-L29]; backbone tensors byte-identical [L57]tail is the 99.9th-percentile per-token KLD, mapped to kld_99 key [L47-L48]top1 is greedy same-top agreement with bf16 [L48]Q6_K-QKV8(-MTP)GGUF23.20download0.00163 kld:prose———top1:prose 97.75; kld:code 0.00084; top1:code 99.80; kld:agentic 0.00094; top1:agentic 99.27vs BF16L28 @ main
GestaltLabs/EXL3-11.5GB KL measured against FP8, not BF16 [L122]domain KL values live in prose lines; ids c50-c53 point at those cells [L133-136]task accuracy is a pass count on 128 tasks, lower than prior release [L146-148]This Release (Expanded 8K, 598 rows)EXL311.50download————kld:development 0.16220; kld:acceptance 0.25899; kld:combined 0.21060other or no referenceL128 @ main
glyd/kestrel card says about 6.5 bits per weight in prose, no table cell [L15]KL measured on WikiText-2 [L32]kestrel (this repo)other22.00download0.00477———GSM8K 97.3%vs BF16L29 @ main
glyd/penguin Lossless: every weight bit-identical to bf16 [L15]; about 11.0 bits per weight stated at L43penguin (lossless, this repo)other37.00download0————vs BF16L33 @ main
glyd/swift about 5.5 bits per weight in prose [L15]text only, vision excluded [L57]swift (this repo)other18.60download0.0139———GSM8K 97.2%vs BF16L30 @ main
gratex/W4A16-g128-sym-GPTQ KLD uses sparse top-20 logprobs and underestimates absolute KLD by about 10-15% vs full vocab [L116]kld_99 is the p99 KLD row [L122]BBH reported value re-scored with markdown stripping; raw harness score differs [L155]HumanEval variant extracts fenced blocks; stricter extraction scores lower [L157]downstream scores are fractions, no BF16 comparison column [L136-L153]This model (v9-2 g128 sym)GPTQ19.00download0.069992.61%9.8108+1.77%kld_99 0.5619; MMLU 0.839; MMLU-Pro 0.823; Global-MMLU-en 0.868; BBH 0.924 ¹; Winogrande 0.795; TruthfulQA-mc1 0.361; TruthfulQA-mc2 0.544; IFEval-strict 0.887; IFEval-loose 0.915; HumanEval 0.976; MBPP 0.874; BABILong 0.876; LongBench 0.520vs BF16L110 @ main
greghavens/bnb-4bit Perplexity cell holds 6.5571 vs 6.4833 bf16 (+1.14%) in one candidate, same id used for ppl and delta [L54, L176]IFEval prompt-level strict NF4 cell has no candidate id (delta +0.00pp vs bf16 0.8189) [L192]BFCL live_irrelevance alone drops -3.39pp [L292]Over-calling: spurious tool call on 27.0% of no-op prompts vs base 23.8% [L45]Tool-call prompts showed mean KL 0.93 and 12% high-confidence top-1 flips [L464]NF4 (this repo, bf16 vision tower)bitsandbytes18.58resident————ppl:wikitext-2 6.5571 vs 6.4833 bf16 (+1.14%); IFEval-prompt-loose 0.8447; BFCL-overall 0.8113; NoveltyBench-distinct_10 4.99; NoveltyBench-utility_10 5.359vs BF16L54 @ main
gubernac/unc-fp8 Deltas reflect the abliteration edit, since FP8 scheme matches official [L214-215]Refusal tables are abliteration effects, omitted [L164-200]Weights ~31 GB [L312]This model (abliterated block-FP8)FP831.00download————MMLU 84.7%; MMLU-Pro 76.8%; GSM8K 88.7%; CMMLU 80.8%other or no referenceL208 @ main
guideboardlabs/Q3-DOWN-XS-GGUF Quality % is relative to UD-IQ3_XXS PPL, not bf16; omitted [L32]prose gives 7.91 GiB vs table 7.68 GiB [L22,L30]Qwen3.8-27B-Q3-DOWN-XS.ggufGGUF8.2download————ppl:wikitext-2 8.2691other or no referenceL30 @ main
HangGlidersRule/Darkstar-Base-ModelOpt-W4A16-NVFP4-Mixed-FP8 GPQA 153/198, thinking off [L43]refusal cells are fraction and percent in one cell [L45-L46]Darkstar W4A16-NVFP4-Mixed-FP8NVFP4—————GPQA-Diamond 77.27vs BF16L43 @ main
Hent-AI/EXL3-1.14514bpw 7.83 GB weight-file size stated in prose only [L54]bpw is decoder Linear target-weight average [L206]no reference-model comparison; Japanese eval is custom, not JGLUE reproduction [L118]Qwen3.8-27B EXL3 1.14514bpwEXL3—————MMLU-Redux 31.30%; MuSR 33.99%; GSM8K 16.60%; HumanEval+ 31.71%; IFEval 60.78%; BFCL v3 62.43%; JCommonsenseQA thinking-off 73.01%; JCommonsenseQA thinking-on 77.57%; JSQuAD EM thinking-off 85.37%; JSQuAD EM thinking-on 86.88%; JSQuAD F1 thinking-off 93.04%; JSQuAD F1 thinking-on 94.32%; MGSM-ja thinking-off 18.80%; MGSM-ja thinking-on 18.40%reference not statedL69 @ main
HermiHg/mmproj-Q5_K-MIX-GGUF mmproj projector only, scores are accuracy fractions [L46-57]size 331.1 MiB (5.99 bpw) vs 888.0 MiB BF16 printed in row label L58, no candidate id; ratio c84 = 0.37BLINK counting and object localization Q5_K-MIX cells absent from candidates; card says exactly matched [L55-56]Q8_0 / Q4_K failing-document counts (L78-84) are a different, selection-biased calibration set; not mappedQ5_K-MIXGGUF—————TextVQA 0.8144; OCRBench-v2 0.6613; GQA 0.6240; ScienceQA 0.9475; MMStar 0.7113; ChartQA 0.8460; BLINK jigsaw 0.5067; BLINK relative depth 0.8952; BLINK visual similarity 0.8963; Overall 0.7458vs BF16L46 @ main
HivenetQuant/NVFP4 niah NVFP4 cell not a candidate; only delta c26 given [L77]Delta columns are as printed (points)NVFP4 (FP8-protected release)NVFP4—————mmlu_pro 77.26; aime25 96.00; ifeval 90.94; bfcl 79.18other or no referenceL69 @ main
huginnfork/FP8 192 modules quantised [L70]Negative dPPL does not mean it beats its parent, within noise [L80-81]This model (huginnfork FP8)FP8———6.9325-0.13 %kld:weight_only 0.0362; kld:as_deployed 0.0756vs BF16L70 @ main
huginnfork/NVFP4A16 KLD is the weight-only column; no as-deployed value given [L70]192 modules quantised [L70]This model (NVFP4A16, MLPs only)NVFP4—0.1267—7.1497+3.00 %—vs BF16L70 @ main
ilintar/gguf-strix-halo Perplexity 15.3977 +/- 0.73357 on 16 held-out 512-token chunks [L40]Quant type of main model not named in provided linesDFlash2 draft IQ4_XS vs Q8_0 speed/acceptance tables omitted (speed only) [L58-72]Main-model quantizationGGUF———perplexity was 15.3977 +/- 0.73357, comp——vs BF16L40 @ main
inferencerlabs/MLX-Q9 Token Accuracy = percent correctly generated base tokens [L46]bpw taken from row label 'Q9' [L39]Q9MLX——97.80%1.20312——vs BF16L39 @ main
intel-ai/MXFP8-CT-AutoRound size is weights loaded in vLLM on B300, from prose [L134]effective bits/param cell holds two values (weights only vs including others), omitted [L42]MXFP8 (this checkpoint)MXFP830.44GPU weights————gsm8k_strict 0.9719; mmlu 0.8348; piqa_acc 0.8085; piqa_acc_norm 0.8156; hellaswag_acc 0.6361; hellaswag_acc_norm 0.8283; AVG 0.8128vs BF16L87 @ main
intel-ai/MXFP8-MXFP8MTP-CT-AutoRound gsm8k is strict-match; others 0-shot acc [L109-115]acceptance rate 0.9451 is a speed-side metric, not mapped [L132]MXFP8 + MTP-MXFP8 (this checkpoint)MXFP8—————mmlu 0.8331; piqa_acc_norm 0.8139; hellaswag_acc_norm 0.8272vs BF16L96 @ main
ionos/GPTQ-Int4 MMMU checkpoint cell missing from table (only base 81.0% present) [L44]This checkpoint (GPTQ-Int4)GPTQ—————OmniDocBench_reading_order 92.8%; OmniDocBench_display_formula 72.9%; MathVista 88.3%; V*Bench 87.0%; MMLU-Pro 85.5%; MMLU-DE 79.5%; BFCL 58.0%; IFEval 38.4%vs BF16L40 @ main
ISTA-DASLab/3Bit-GSQ AIME 2025 3-bit GSQ cell not in candidates [L44]size 11.83 GB with vision, 10.90 GB text-only [L115,L135]3-bit GSQ group 128, embed/head 4-bit RTN group 64 [L26-28]3-bit GSQother11.83download————GPQA Diamond 91.41other or no referenceL45 @ main
IsValorum/VAL-APEX-I-MiniPlus-V3-GGUF PPL 6.1361 +/- 0.4885 [L73]; delta cell combines absolute +0.3419 and +5.90%NanoBench agentic harness scores (L86-90) were run by a community member and linked to a different repo (Huihui NanoPlus), not mappedQwen3.8-27B-VAL-APEX-I-MiniPlus-V3.ggufGGUF14.16download——6.1361 ± 0.4885——vs BF16L73 @ main
IsValorum/VAL-APEX-I-NanoPlus-V3-GGUF whole-file BPW incl. metadata and MTP head [L151]PPL +/- 0.5011 stated in cell [L73]Qwen3.8 27B Base - NanoPlus V3 (this release)GGUF12.18download————ppl:wikitext2 6.2577 ± 0.5011vs BF16L73 @ main
jaakkomoller/q3mix-NInfer MTP3 acceptance 86.67% in front-matter metadata [L37]; pass counts out of 175 and 35q3mixother—————LiveCodeBench_v6_175 43/175; quality_gate_35 29/35other or no referenceL179 @ main
Jackrong/Qwopus3.8-27B-Flash-GGUF Fine-tune of Qwen3.8-27B, not a plain quant; author-provided local results [L143]MMLU-Pro 2,500-question mixed set accuracy [L157]Agentic battery 13/14 passed on one RTX 5090 [L162]; speed/MTP acceptance figures omittedQwopus3.8-27B-Flash (Q5_K_M + MTP)GGUF—————MMLU-Pro 91.28%other or no referenceL157 @ main
JANGQ-AI/JANGH2 All KL values are median KL vs bf16, not mean [L50-55]Size 14.25 GiB stated in prose headline [L39]JANGH2other15.30download————kld:mixed_held_out 0.037; top1:mixed_held_out 80.1 %; kld:agentic_tool_conversations 0.061; top1:agentic_tool_conversations 75.3 %; kld:reasoning 0.008; top1:reasoning 85.4 %; kld:own_traces_low 0.008; kld:own_traces_medium 0.002; kld:own_traces_xhigh 0.026; top1:own_traces_low 81.2; top1:own_traces_medium 88.1; top1:own_traces_xhigh 81.9vs BF16L39 @ main
JANGQ-AI/JANGH2 Median KL per topic [L64-79]JANGH2 by topic (held-out text)other—————kld:coding 0.0092; top1:coding 89.5 %; kld:math 0.0068; top1:math 90.8 %; kld:office_finance 0.0087; top1:office_finance 86.9 %; kld:topic_reasoning 0.0081; top1:topic_reasoning 81.0 %; kld:science 0.0460; top1:science 87.1 %; kld:long_context 0.0446; top1:long_context 80.4 %; kld:cybersecurity 0.0368; top1:cybersecurity 80.5 %; kld:networking 0.0244; top1:networking 81.9 %; kld:terminal_shell 0.0738; top1:terminal_shell 73.5 %; kld:agentic_tool_calls 0.0975; top1:agentic_tool_calls 71.2 %; kld:creative_writing 0.1989; top1:creative_writing 74.2 %; kld:multi_turn_agentic 0.0615; top1:multi_turn_agentic 75.3 %vs BF16L68 @ main
JANGQ-AI/JANGH2 Median KL per topic on own reasoning traces [L81-91]JANGH2 by topic (own bf16 reasoning traces)other—————kld:traces_coding 0.00508; top1:traces_coding 89.4 %; kld:traces_math 0.00061; top1:traces_math 91.6 %; kld:traces_office_finance 0.00007; top1:traces_office_finance 91.2 %; kld:traces_science 0.00779; top1:traces_science 87.8 %; kld:traces_networking 0.00009; top1:traces_networking 92.8 %; kld:traces_cybersecurity 0.08516; top1:traces_cybersecurity 81.1 %; kld:traces_agentic_tool_calls 0.03968; top1:traces_agentic_tool_calls 72.6 %vs BF16L85 @ main
JANGQ-AI/JANG_4D KL is median KL, not mean [L50]Size 21 GiB stated in prose only [L38]Think-block close decisions agree 40/40 and 65/65; tool-call vs answer decisions flip on 9/263 agentic positions [L59-60]JANG_4D (quality vs bf16, by set)other—————kld:mixed_held-out_text 0.0007; top1:mixed_held-out_text 95.2 %; kld:agentic_and_tool_conversations 0.0014; top1:agentic_and_tool_conversations 92.1 %; kld:reasoning 0.0001; top1:reasoning 96.9 %; kld:bf16_traces_effort_low 0.0001; top1:bf16_traces_effort_low 93.9 %; kld:bf16_traces_effort_medium 0.00004; top1:bf16_traces_effort_medium 97.7 %; kld:bf16_traces_effort_xhigh 0.0005; top1:bf16_traces_effort_xhigh 95.1 %vs BF16L52 @ main
JANGQ-AI/JANG_4D Median KL per topic, same rows as JANGH2 [L66]; tokens scored per topic in table (e.g. coding c14, multi-turn agentic c69)JANG_4D (by topic, held-out text set)other—————kld:coding 0.0002; top1:coding 98.4 %; kld:math 0.0001; top1:math 98.7 %; kld:office_finance 0.0001; top1:office_finance 97.7 %; kld:reasoning 0.0001; top1:reasoning 94.5 %; kld:science 0.0010; top1:science 98.0 %; kld:long_context_attention_recall 0.0007; top1:long_context_attention_recall 96.6 %; kld:cybersecurity 0.0008; top1:cybersecurity 94.9 %; kld:networking 0.0011; top1:networking 93.7 %; kld:terminal_shell 0.0013; top1:terminal_shell 92.5 %; kld:agentic_tool_calls 0.0026; top1:agentic_tool_calls 89.8 %; kld:creative_writing 0.0028; top1:creative_writing 96.5 %; kld:multi_turn_agentic 0.0014; top1:multi_turn_agentic 92.1 %vs BF16L70 @ main
JANGQ-AI/JANG_4D Thinking + answer tokens of own bf16 traces [L83]; median KLJANG_4D (own bf16 reasoning traces, by topic)other—————kld:coding 0.00007; top1:coding 98.4 %; kld:math 0.00001; top1:math 98.6 %; kld:office_finance 0.00000; top1:office_finance 98.5 %; kld:science 0.00010; top1:science 98.1 %; kld:networking 0.00000; top1:networking 98.7 %; kld:cybersecurity 0.00135; top1:cybersecurity 97.3 %; kld:agentic_tool_calls 0.00093; top1:agentic_tool_calls 89.7 %vs BF16L87 @ main
jaromer/0bserverx-Heretic-Abliterated-Uncensored-GGUF KL is abliteration damage vs base, not a quantization KLD; file/quant it was measured on not stated [L126-130]refusals 0-1/100 (c7.0, c7.1) are not a quant-quality metric keyRVN (this repo)GGUF—0.0085————other or no referenceL130 @ main
jcbtc/CIRU-ActiveFPX-PromptForge GGUF alone 15.44 GiB, full payload 35.81 GiB, not in metric table [L102]same-top token agreement 91.152% [L57]V3other—0.03145791.152%—1.016361—vs BF16L55 @ main
jcbtc/IU4-Kairic-Edge Configured-system comparison, not a one-variable quantization experiment [L115]Run predates v1.2 correction [L117]GGUF is 15.48 GiB (16,617,792,672 bytes) in separate files table [L225]; total with companions 26.05 GiB [L229]Kairic Edge IU4 v1/v1.1other—————HumanEval 158/164 (96.34%); HumanEval+ 152/164 (92.68%)reference not statedL104 @ main
jclyons52/Unsloth-Dynamic-v3-mlx ppl includes +/- 0.212 error [L46]peak memory 13.8 GB, decode 10.17 t/s [L47-48]Unsloth Dynamic v3.0 allocation, native MLXMLX12.40download————ppl:wikitext-2 Perplexity: 12.724 ± 0.212reference not statedL21 @ main
jdominick05/24GB-262k-GGUF size column is MiB [L40]; file table lists 17.0 GiB [L28]median KLD also reported [L42]; PPL is relative to Q8_0 (+0.1%)99.9th pct KLD mapped to kld_99 [L42]R3-mix (Qwen3.8-27B-R3-mix.gguf)GGUF18.23download0.0142 ± 0.001196.10%—+0.1%—vs a Q8_0L42 @ main
jdominick05/24GB-262k-GGUF measured on same weights without the MTP layer [L49]size column is MiB [L40]; file table lists 16.4 GiB [L29]99.9th pct KLD mapped to kld_99 [L43]R5-mix-MTPGGUF17.65download0.0165 ± 0.001495.90%—+0.3%—vs a Q8_0L43 @ main
jialinyyzz/abliterated-MLX-4bit 4.695 bits/weight stated in prose [L32]capability and refusal numbers measured on bf16 master; 4-bit quant error not measured [L65-66,L78-79]~19 GB peak RAM [L33]abliterated MLX 4-bit (w177)MLX15.00download————bpw 4.695 bits/weightvs BF16L32 @ main
jialinyyzz/abliterated-MLX-8bit KL (orig || abliterated) measures the abliteration edit on harmless prompts, 8-bit MLX affine group size 64 [L32, L44]HellaSwag w177 value not in candidates (only original and delta 0.000)Refusal counts (base 98, w177 11 of 100) are not a mapped quality metric [L55-56]abliterated MLX 8-bit (w177)MLX—0.056———ARC-Challenge 0.567; Winogrande 0.770; OpenBookQA 0.470; GSM8K 0.78other or no referenceL44 @ main
Jianqiao1/MoQ-GGUF [L54]Qwen3.8-27B-MTP-MoQ-5.1.ggufGGUF17.34download0.01285794.968%7.020549—kld_99 0.123491vs BF16L54 @ main
Jianqiao1/MoQ-GGUF [L53]Qwen3.8-27B-MTP-MoQ-4.9.ggufGGUF16.41download0.01634294.423%7.021034—kld_99 0.162814vs BF16L53 @ main
Jianqiao1/MoQ-GGUF [L52]Qwen3.8-27B-MTP-MoQ-4.8.ggufGGUF16.04download0.01728294.339%7.008832—kld_99 0.169743vs BF16L52 @ main
Jianqiao1/MoQ-GGUF [L51]Qwen3.8-27B-MTP-MoQ-4.6.ggufGGUF15.13download0.02017193.809%7.014436—kld_99 0.200817vs BF16L51 @ main
Jianqiao1/MoQ-GGUF [L50]Qwen3.8-27B-MTP-MoQ-4.3.ggufGGUF14.89download0.02450092.648%7.045628—kld_99 0.216612vs BF16L50 @ main
Jianqiao1/MoQ-GGUF [L49]Qwen3.8-27B-MTP-MoQ-4.1.ggufGGUF14.14download0.03146091.872%7.068801—kld_99 0.285069vs BF16L49 @ main
Jianqiao1/MoQ-GGUF [L48]Qwen3.8-27B-MTP-MoQ-3.8.ggufGGUF12.71download0.04819090.109%7.122706—kld_99 0.437946vs BF16L48 @ main
Jianqiao1/MoQ-GGUF [L47]Qwen3.8-27B-MTP-MoQ-3.6.ggufGGUF11.89download0.07224488.722%7.221080—kld_99 0.717370vs BF16L47 @ main
Jianqiao1/MoQ-GGUF Same top-p mapped to top1_pct [L44][L46]Qwen3.8-27B-MTP-MoQ-3.2.ggufGGUF10.57download0.11163785.679%7.408463—kld_99 1.084846vs BF16L46 @ main
jkim96/DASHQ-Q2-GGUF [L43]DASH-Q Q2_K_XLGGUF9.8download————ppl:wikitext2 6.40; ppl:c4 10.92other or no referenceL27 @ main
jkim96/DASHQ-Q2-GGUF [L41]DASH-Q IQ2_SGGUF8.7download————ppl:wikitext2 6.72; ppl:c4 11.51other or no referenceL26 @ main
jkim96/DASHQ-Q2-GGUF [L39]DASH-Q IQ2_XSGGUF8.6download————ppl:wikitext2 6.75; ppl:c4 11.61other or no referenceL25 @ main
jkim96/DASHQ-Q2-GGUF [L37]DASH-Q IQ2_XXSGGUF7.8download————ppl:wikitext2 7.62; ppl:c4 13.39other or no referenceL24 @ main
Jon-Nielsen/exl3-4.00bpw Size is VRAM peak ~24 GB with Q6 KV 262K config, not file size; file ~16 GB in prose [L11, L20]Pre-release benchmarks [L14]EXL3 4.00bpwEXL324.00GPU weights————ppl:40K_tech 5.25reference not statedL20 @ main
Jon-Nielsen/exl3-6.00bpw Pre-release benchmarks; size is VRAM peak at runtime [L14,L21]Upstream Qwen3.8-27B tables pasted below are not measurements of this quant [L80-244]6.00bpwEXL330.00GPU weights————ppl:40K_tech 5.07reference not statedL21 @ main
JRamirez-UAB/EXL3-3.85bpw-24GB internal and public (turboderp trace) values from same row [L89]BF16 ppl 1.5860 internal / 1.3332 public [L85]EXL3 3.85 bpw (main)EXL314.62download0.0073—1.5976—kld:public_trace 0.0067; ppl:public_trace 1.3430vs BF16L89 @ main
JRamirez-UAB/EXL3-3.85bpw-24GB [L90]EXL3 3.70 bpw (3.70bpw branch)EXL314.16download0.0089—1.5999—kld:public_trace 0.0085; ppl:public_trace 1.3466vs BF16L90 @ main
JRamirez-UAB/GPTQ-W4A16-embed-int4-24GB Weights column of family table [L91]; mean KLD, medians also reported (internal 0.0127, public 0.0017) [L91]Agent tasks vary about +-2 of 30 between runs [L105]Card states quality not evaluated with standard benchmarks [L452]GPTQ W4A16 + INT4 embeddings (mtp-int8 / main)GPTQ15.26download————kld:internal 0.0400; kld:public 0.0312; ppl:internal 1.6631; ppl:public 1.3779vs BF16L91 @ main
JRamirez-UAB/GPTQ-W4A16-g64-embed-int8-24GB median KLD also reported [L83]GPTQ evaluated as BF16 copy of dequantized weights [L95]GPTQ W4A16 g64 + INT8 embeddings (v4)GPTQ16.91download————kld:internal 0.0175; kld:public 0.0171; ppl:internal 1.6203; ppl:public 1.3568vs BF16L83 @ main
julianmb/Qwen-3.8-27B-ROCmFP4-FAST-GGUF PPL cell includes a ± error term [L188]card also claims ~99% benchmark retention without a table [L92]ROCmFP4_FAST (this repo, original build)GGUF14.55download————ppl:wikitext-2 7.205 ± 0.121reference not statedL78 @ main
julianmb/Qwen-3.8-27B-ROCmFP4-FAST-GGUF PPL cell includes a ± error term [L189]size not given for this specific build; speed stated statistically identical [L191]ROCmFP4_FAST requantized from unsloth Q8_0GGUF—————ppl:wikitext-2 7.138 ± 0.120reference not statedL189 @ main
juzbox/NVFP4-GDN KL row L84 is custom engine; averaging method not statedsize is checkpoint size [L35]this model (NVFP4 GDN projections, GPTQ)NVFP419.50download0.0445———BFCL v3 all (custom engine) 89.7%; BFCL parallel (custom engine) 78.5%vs BF16L35 @ main
kacaforyah/Opti-27B median KLD 0.043 also in table [L79]unpaired ppl vs paired ratio differ [L37,L79]MMLU-Pro scorer B this release [L104]Opti 27Bother11.80download0.093587.2%6.4871.005xppl_ratio:paired 1.0075 +/- 0.0028; kld_99 0.876; ppl_delta_pct:wikitext-2 +0.75% +/- 0.28%; ppl_delta_pct:C4 +4.2% +/- 1.6%; ppl_delta_pct:python-stdlib +21.8% +/- 2.0%; ppl_delta_pct:pride-and-prejudice +58.9% +/- 4.2%; MMLU-Pro:scorerB 53.9 +/- 0.5other or no referenceL37 @ main
kaushikvira/nvfp4full-dflash2-NInfer asterisk on values not explained in extracted cells [L211]family table row for the v3 twin (byte-identical weights) [L223-224]rows for swift-abliterated, swift15, thinkingcap, swift15-uncensored-ajgazin are different fine-tuned models, omitted [L212-215]cross-card rows from different sessions, small deltas indicative [L206]nvfp4full-dflash2.v3 (same weights as this v2 container)NVFP420.08GPU weights————IFBench prompt-strict 65.0*; GSM8K-200 96.5%*other or no referenceL168 @ main
kaushikvira/nvfp4full-dflash2-NInfer-v3 IFBench and GSM8K cells carry an asterisk with unexplained footnote [L236]size is Weights on device from validation table [L175]needle 12/12 and tool-call 10/10 gate probes are pass counts, omittednvfp4full-dflash2.v3 (this file)NVFP420.08GPU weights————GSM8K-200 96.5%*reference not statedL175 @ main
kaushikvira/swift15-nvfp4full-dflash2-NInfer-v3 Size cell c18 is the Swift-1.0 column of the artifact-size row; this artifact column not a separate candidate [L127]Family table repeats swift15 v3 IFBench 69.0 and GSM8K 95.0% [L184]Weights in VRAM 18.0 GiB [L108]Swift-1.5 (this artifact)NVFP419.78download————IFBench prompt-loose 72.7; IFBench instr-strict 70.4; IFBench instr-loose 73.6; GSM8K-200 95.0% (190/200)other or no referenceL118 @ main
kaushikvira/swift15-uncensored-ajgazin-nvfp4full-dflash2-NInfer-v3 same-session A/B [L69-70]GSM8K -0.5 pp is n=200 noise [L70]refusal-rate rows omitted (not a quality-vs-reference metric)this artifactNVFP4—————IFBench prompt-strict 70.3 (loose 74.3, instr 70.6/74.1); GSM8K-200 94.5% (−0.5 pp, n=200 noise)other or no referenceL69 @ main
kaushikvira/thinkingcap-nvfp4full-dflash2-NInfer-v3 same-session A/B [L137-141]GSM8K delta +0.5 pp is n=200 noise [L137]ThinkingCap (this artifact)NVFP4—————GSM8K-200 95.5% (191/200); IFBench prompt-strict 68.0; IFBench prompt-loose 71.0; IFBench instr-strict 67.7; IFBench instr-loose 70.3other or no referenceL137 @ main
kayceesamuel/NF4DQ 4.1562 bits per weight [L13]Card compares against interpolated K-quant at 4.16 bpw near 7.29 [L29-30]NF4DQbitsandbytes14.21download——7.0890 ppl:wikitext——vs BF16L26 @ main
kdqemre/RQ2_K_L-GGUF Score 98/100 on 100 problems, single run [L93]RQ2_K_L (Mixed 2-bit)GGUF12.60download————GSM8K-100 98other or no referenceL91 @ main
kekzle/NVFP4-vllm 51.75 GiB BF16 becomes 19.2 GiB [L21]Qwen3.8-27B-NVFP4NVFP420.62download————ppl:ppl_corpus_45k 4.6158other or no referenceL21 @ main
kingjones777/ROCmFP4-STRIX-MTP-GGUF ppl ±0.068 [L104][L89]ROCmFP4-STRIXGGUF14.76download——5.8877——other or no referenceL89 @ main
kingjones777/ROCmFP4-STRIX-MTP-GGUF [L90]ROCmFP4-STRIX_LEANGGUF14.59download——5.8871——other or no referenceL90 @ main
kingjones777/ROCmFP4-STRIX-MTP-GGUF [L91]ROCmFP4-FASTGGUF14.31download——5.9233——other or no referenceL91 @ main
kirillbilchenko/MxWave-MXFP4-FP8 Absolute PPL is specific to the character-window protocol [L143-145]PPL is 0.0969% lower than H64 per comparison column on H64 row [L138]Holdout KL difference interval crosses zero; GSM8K difference not statistically proven [L154-157,L172-176]Top-1 agreement cell for candidate not given in mapped cells [L152]About 2% larger and 2.2% slower than H64 [L40-41]MxWave MXFP4/FP8MXFP4—————ppl:wikitext2 8.111578; kld:holdout 0.044942vs BF16L139 @ main
komeijishiki/EXL3-SC-3.40bpw-H6-V6 KLD is recipe-predicted, not a measured result [L135]card states achieved_bpw = 3.40 (text) but not as a table candidate [L135]per-layer SQNR 39-43 dB claimed [L136]Qwen3.8-27B-EXL3-SC-3.40bpw-H6-V6EXL3—0.011————reference not statedL135 @ main
lackonendes/PAW-125B-FLASH-NEXT-X3 two shards listed separately (42.08 and 48.28 GiB); no total cell [L60-61]bpw applies to expert bank only, decoder at Q8_0 [L18-19]MMLU-Pro and GPQA use a rescue pass with larger token cap [L78-83]model-level KL vs BF16 parent not measured [L145-146]PAW-125B-FLASH-NEXT-X3 q8_0 (2-shard GGUF, expert bank 2.631 bpw)other—————MMLU-Pro 327/500 (65.4%); GPQA 117/198 (59.1%); IFBench-64 strict 15/64 (23.4%), loose 21/64 (32.8%); HumanEval 97.0; HumanEval+ 93.9; MBPP 96.3; MBPP+ 80.7; GSM8K 97/100 (97.0%)other or no referenceL28 @ main
lackonendes/PAW-27B-GGUF ~2.17 bpw stated in prose, no candidate id [L17]peer comparisons, not retention numbers [L51]PAW-27BGGUF7.8download————MMLU-Pro 58.6%; GSM8K 94%; HumanEval+ 87.2%; MBPP+ 75.9%other or no referenceL41 @ main
lackonendes/PAW-27B-X3.1-GGUF Cells include counts and pending/running notes; GPQA 11 items pending, MMLU-Pro 20 pending, LiveCodeBench still running, IFBench 6 pending [L63-66,L141-142]Retention ratios vs published BF16 given in table [L62-66]Only 3.5 bpw file has benchmark results [L44-45,L140]PAW-27B-X3.1 (3.5 bpw)GGUF12.35download————AIME 2026 96.67 (29/30); GPQA-Diamond 90.4 (179/198), 11 items still pending; MMLU-Pro 87.2 (436/500), 20 items still pending; LiveCodeBench v6 88.6 (155/175), running (phase 5 of 6, 19/22 done); IFBench 78.0 (117/150), 6 items still pendingvs BF16L62 @ main
Launch80/PARO-int5 [L79-85]this checkpoint (PARO-int5)other21.00download—95.21%——kld:top256 0.0100; GSM8K 97.40%vs BF16L78 @ main
LeaderboardModel1/AutoRound-MXFP4-ModelFree absolute accuracies, no reference comparison [L28-31]Qwen3.8-27B-AutoRound-MXFP4-ModelFreeMXFP4—————hellaswag 0.6166; piqa 0.7960reference not statedL30 @ main
LeaderboardModel1/AutoRound-W4A16 No BF16 comparison score on card [L26-31]AutoRound-W4A16AutoRound—————gsm8k 0.9704; hellaswag 0.8252; mmlu 0.8208; piqa 0.8074reference not statedL28 @ main
LeaderboardModel1/AutoRound-W4A16-tuning Scores printed as fractions [L28-31]; no reference model scores on cardQwen3.8-27B-AutoRound-W4A16-tuningAutoRound—————gsm8k 0.9704; hellaswag 0.8246; mmlu 0.8253; piqa 0.8112reference not statedL28 @ main
LeaderboardModel1/AutoRound-W4A16-v2 Scores printed as fractions; no baseline comparison [L26-31]AutoRound-W4A16-v2AutoRound—————gsm8k 0.9697; hellaswag 0.8241; mmlu 0.8269; piqa 0.8107reference not statedL28 @ main
leonsarmiento/3bit-mlx 50-question samples, 2pp = 1 question [L88-89]size is Footprint row [L23]3.716 bits per weight stated in prose [L52]Qwen3.8-27B-3bit-mlx (clean 3-bit)MLX12.71download————MMLU 76.0%; MMLU_PRO 58.0%; bpw 3.716 bits per weightother or no referenceL23 @ main
leonsarmiento/3bit-mtp-mlx 3.716 bpw base + 0.33 GB MTP stated in prose [L51]Gemma-4 and Qwen3.6 rows are other models, omitted [L80-84]Qwen3.8-27B 3bit-mtpMLX13.04download————MMLU 80.0%; MMLU_PRO 61.0%; HUMANEVAL 94.0%; MBPP 70.0%reference not statedL26 @ main
libertyhhn/GPTQ-W4A16-g128 Weights file 18.6 GB from prose [L24]Paired differences with 95% intervals reported in table [L53-55], not mapped (no matching key)GPTQ W4A16 g128 (This model)GPTQ18.60download————ppl:wikitext2 6.28; MMLU 0-shot 84.08; MMLU 5-shot 82.31; GSM8K 96.21vs BF16L24 @ main
Litwein/oQ4e-DWQ-MTP-Vision-MLX Held-out top-K teacher KL vs oQ8e teacher, not task accuracy and not comparable to other datasets/teachers [L99-101]20% reduction vs M4Q init [L130]oQ4e -> M4Q -> DWQ (this repo)MLX—————kld:heldout_teacher 0.0229other or no referenceL129 @ main
lmcoleman/MagicQuant-GGUF Cell holds ppl and percent increase vs BF16 together, same id used for both [L49]Same quant listed as 20.89 GiB in tier table [L61]Qwen3.8-27B-Q6_K.ggufGGUF22.40download———6.7579 (+0.20%)ppl:wikitext-2 6.7579 (+0.20%)vs BF16L49 @ main
lmcoleman/MagicQuant-GGUF Cell holds ppl and percent increase vs BF16 together, same id used for both [L48]Same quant listed as 14.65 GiB in tier table [L59]Qwen3.8-27B-Q4_K_M.ggufGGUF15.70download———6.7611 (+0.25%)ppl:wikitext-2 6.7611 (+0.25%)vs BF16L48 @ main
lmcoleman/ROCmFPX-GGUF Headline note reports MQ-Q6 PPL 6.7412 vs table value [L31,L97]Qwen3.8-27B-ROCMFPX-MQ-Q6.ggufGGUF22.20download——6.7579 (+0.20%) ppl:wikitext—ppl:wikitext_headline 6.7412vs BF16L97 @ main
lmcoleman/ROCmFPX-GGUF File table cell holds ppl with percent delta [L96]Headline note at L30-32 reports a different, later MQ-Q4 PPL 6.9240 (+2.7%) than table; conflict, see prose [L32]Qwen3.8-27B-ROCMFPX-MQ-Q4.ggufGGUF15.70download——6.7611 (+0.25%) ppl:wikitext—ppl:wikitext_headline 6.9240vs BF16L96 @ main
Lottolabs/TT-Mixed-BFP4-BFP8-P150 Reference is the TT all-BFP8 build, not BF16 [L48]~22.1 GB checkpoint stated in prose [L110]GPTQ BFP4 (this checkpoint) vs TT all-BFP8NVFP4—————kld:chat 0.070; top1:chat 0.897; kld:code 0.047; top1:code 0.943; kld:instruct 0.011; top1:instruct 0.967; kld:all 0.055; top1:all 0.925vs BF16L52 @ main
Lottolabs/TT-Mixed-BFP4-BFP8-P150 KV-cache quantization effect on same weights, not weight quantization; reference is BFP8 KV [L64]Delta NLL +/- SE: book 32K-128K c15, book 262K c18, code c21, long chat c24; top-1 values are fractions262K profile 4-bit V cache vs BFP8 KV cacheNVFP4—————kld:book_32K-128K 0.0074; top1:book_32K-128K 0.957; kld:book_262K 0.0093; top1:book_262K 0.937; kld:code_32K-262K 0.0045; top1:code_32K-262K 0.981; kld:long_chat_61K 0.0062; top1:long_chat_61K 0.966vs BF16L68 @ main
lribeiro/FP8-Pessoa Body-only KLD against a shared BF16 LM head [L538]Size stated only as ~28 GB in prose/row label [L276]Throughput and composite score also reported [L249]Pessoa (FP8 W8A16 weight-only, GPTQ)FP8—0.00555997.47%——kld_99 0.085659; kld:multilingual 0.00192; kld:scientific 0.00193; kld:encyclopedic 0.00377; kld:code 0.00596; kld:literary 0.00985other or no referenceL187 @ main
Lucebox/IQ4_XS-fast-GGUF requantized from bartowski imatrix IQ4_XS with --pure [L17]pure IQ4_XS (this file)GGUF14.54download0.02892.0%—+1.9%—vs a Q8_0L23 @ main
lued/INT8-W8A16-DFlash2 [L70-72]INT8 W8A16 (this build)INT830.06download0.000798.1%———vs BF16L70 @ main
lued/INT8-W8A16-MTP size is weight files [L91]long-context probe values from L210This W8 / BF16 A16 (INT8 symmetric, groups of 128)INT831.61download0.00089499.36%———vs BF16L91 @ main
lued/INT8-W8A16-MTP same INT8 weights with FP16 activations [L183]This checkpoint, FP16 profile (W8 / FP16 A16)INT8—0.00064199.19%———vs BF16L183 @ main
machinez/d3-NVFP4 scores are for the d3 decision model (a different model from base Qwen3.8-27B), not NVFP4-vs-bf16 quant comparison; card page is d3's, NVFP4 file not distinguished [L151]dagger benchmarks are approximate rebuilds [L171]Perception Test 77.4 internal evaluation in prose [L35]competitor models (Perplexity Decider, Fastino GLiDE, Jev, Torchcast, Decision 2.0, JEV-27B-VL, Solomon) from live board data are different models and omitted [L199]d3NVFP4—————Jev Decision Index 64.7; Jev Public 65.5; Jev Same-skill tests 62.8; Jev New-domain tasks 56.6; CV-Bench 76.2; BLINK 59.9; RealWorldQA 73.4; CharXiv 91.7; InfographicVQA 96.7; Mind2Web 90.0; Winoground 85.8; R-Bench-M 33.0; MMMU-Pro vision 47.0; Perception Test 77.4reference not statedL151 @ main
magiccodingman/MagicQuant-GGUF Alt imatrix A/B values in L138 table (generic 0.000703 vs Unsloth 0.000705) [L138]MQ-Q6_K_1GGUF29.03download0.000703————reference not statedL36 @ main
magiccodingman/MagicQuant-GGUF Primary KLD is the Unsloth-imatrix rebuild; generic is c81 [L139]MQ-Q6_K_2GGUF27.26download0.000873————reference not statedL37 @ main
magiccodingman/MagicQuant-GGUF Unsloth-imatrix rebuild; generic is c87 [L140]MQ-Q6_K_3GGUF25.94download0.001047————reference not statedL38 @ main
magiccodingman/MagicQuant-GGUF MQ-Q6_K_4GGUF23.21download0.001518————reference not statedL41 @ main
magiccodingman/MagicQuant-GGUF MQ-Q5_K_1GGUF22.00download0.002427————reference not statedL42 @ main
magiccodingman/MagicQuant-GGUF Unsloth-imatrix rebuild [L145]MQ-Q5_K_2GGUF20.91download0.003146————reference not statedL43 @ main
magiccodingman/MagicQuant-GGUF Unsloth-imatrix rebuild [L146]MQ-Q5_K_3GGUF20.10download0.003562————reference not statedL44 @ main
magiccodingman/MagicQuant-GGUF MQ-Q5_K_S_1GGUF18.98download0.004818————reference not statedL45 @ main
magiccodingman/MagicQuant-GGUF MQ-Q4_K_M_1GGUF17.62download0.007412————reference not statedL46 @ main
magiccodingman/MagicQuant-GGUF Unsloth-imatrix rebuild [L150]MQ-IQ4_XS_1GGUF16.34download0.013723————reference not statedL48 @ main
magiccodingman/MagicQuant-GGUF MQ-IQ2_M_1GGUF11.96download0.057811————reference not statedL53 @ main
magiccodingman/MagicQuant-GGUF MQ-IQ2_M_2GGUF10.77download0.092394————reference not statedL55 @ main
magiccodingman/MagicQuant-GGUF Unsloth-imatrix rebuild [L160]MQ-IQ2_XXS_1GGUF8.3download0.270304————reference not statedL58 @ main
maglun/MLX-Mixed-3.80bpw PPL values from the two tables use different corpora and are not interchangeable [L91-93]n=8 and n=12 samples, screening-tier only [L119-122]decode tok/s is not a quality metric [L101]mixed affine 3.80 bpw (this release)MLX13.70download————ppl:heldout-4doc 6.4916; ppl:heldout-6doc 6.2212; HumanEval+ 75.0%; GSM8K 91.7%vs BF16L74 @ main
maglun/MLX-Mixed-4.95bpw re-measured on Apple M5 Pro; launch-day M4 Pro PPL was 5.9028 [L102-103]tiny n; HumanEval+ does not discriminate [L115]size is full tensor payload incl. BF16 vision [L37]this release - mixed affine 4.95 bpwMLX17.57download——5.9056—HumanEval+ 75.0%; GSM8K 100.0%vs BF16L94 @ main
mahadev9/fp8 mean_kld and top1_pct are the 'overall' bucket [L29]fp8FP8—0.224491.92%——kld:prose 0.0043; top1:prose 96.78%; kld:agentic 0.2864; top1:agentic 90.55%vs BF16L27 @ main
majentik/MLX-2bit [L43,L44]MLX 2bit (affine, group size 32)MLX—————arc_easy_acc 0.4900; hellaswag_acc 0.4100reference not statedL43 @ main
majentik/MLX-3bit No full-precision baseline shown for these scores [L41-44]Qwen3.8-27B-MLX-3bitMLX—————arc_easy_acc 0.5850; hellaswag_acc 0.4850reference not statedL43 @ main
majentik/MLX-4bit no BF16 comparison or sample size given [L39-45]Qwen3.8-27B-MLX-4bit (affine, group size 32)MLX—————arc_easy_acc 0.5900; hellaswag_acc 0.5150other or no referenceL43 @ main
majentik/MLX-5bit no sample size or harness stated [L40-44]MLX 5-bit (affine, group size 64)MLX—————arc_easy_acc 0.6050; hellaswag_acc 0.5350other or no referenceL43 @ main
majentik/MLX-6bit scores are round to two decimals (0.6000, 0.5400), sample size not stated [L43-44]no BF16 baseline given on cardQwen3.8-27B-MLX-6bit (affine, group size 64)MLX—————arc_easy_acc 0.6000; hellaswag_acc 0.5400reference not statedL43 @ main
majentik/MLX-8bit no base-model comparison; small-sample scores [L41-L44]MLX 8bitMLX—————arc_easy_acc 0.6150; hellaswag_acc 0.5400reference not statedL43 @ main
majentik/MLX-MXFP4 mxfp4, 4-bit, group size 32 [L14,L23]no reference scores given [L43-44]MLX MXFP4MLX—————arc_easy_acc 0.6300; hellaswag_acc 0.5000reference not statedL43 @ main
malaiwah/EXL3-EDA-research worse than hydrated by +0.000366 mean KLD, 95% CI [+0.000334, +0.000398] [L28]serialized size 21,586,964,548 B identical to hydrated [L30]; bytes cell c29 belongs to another tablemedian/p99.9/exact max columns not mapped (p99.9 is not p99) [L95]error-driven allocation (this build)EXL3—0.00306617963517836697.506 %———other or no referenceL95 @ main
malaiwah/EXL3-K5K6 resident 20.32 GiB (c9) [L194]download is BF16 attention encoded at load [L482-484]v5 body-only KL, not served-logit or task-quality [L36-39]max single position 22.241 worst of five [L288]K5K6 (this build, v5 10M)EXL330.60download0.00321097.52 %———vs BF16L194 @ main
malaiwah/EXL3-K5K6 shard-0 [L456]K5K6 this build (shard-0 replay)EXL3—0.00314197.61 %———vs BF16L456 @ main
malaiwah/EXL3-K5K6-context v3 development suite 136 contexts [L379-390]this build, BF16 input, MTP off (v3)EXL320.73resident0.00967396.81 %———vs BF16L392 @ main
malaiwah/EXL3-K5K6-context v5 value is the serialized checkpoint, no int8 input overlay, body-only [L229,L41]size is the download size from the overview table [L139], not from the fidelity tableshard-0 p99.9 c92 (0.1632) is p99.9 not p99, not mapped [L466]MMLU-Pro 58/70 [L742]this build (context edition), v5 10MEXL320.70download0.00350997.44 %——kld:v3_corrected 0.009459; kld:v4 0.003990; top1:v4 97.36 %; MMLU-Pro 58/70 (82.9 %); kld:shard0 0.003409; top1:shard0 97.55 %vs BF16L139 @ main
malaiwah/EXL3-K5K6-context v3 development suite [L379-390]this build, int8 input overlay, MTP off (v3)EXL319.47resident0.00973896.80 %———vs BF16L393 @ main
malaiwah/EXL3-K5K6-hydrated v5 10M body-only, headline [L24, L320]download 21.61 GB [L145]this build (hydrated) v5 10MEXL321.81resident0.00276097.70 %———other or no referenceL320 @ main
malaiwah/EXL3-K5K6-hydrated prior receipt, different suite, not comparable to v5 [L446-448, L777]this build (hydrated) v3 136-contextEXL321.81resident0.00740697.19 %———other or no referenceL779 @ main
malaiwah/EXL3-K5K6-hydrated shard 0 only, vLLM [L495]p99.9 0.1313 not mapped (no key)this build (hydrated) v5 shard0 cross-engine tableEXL321.60download0.00270097.80 %———other or no referenceL495 @ main
malaiwah/EXL3-K5K6-hydrated [L853]this build (hydrated) v4 36-contextEXL3—0.00309397.63 %———other or no referenceL853 @ main
malaiwah/EXL3-K6-parity p99.9 (c11) and max (c12) not mapped: no matching key [L109]this build (K6 parity, EXL3)EXL323.03download0.00163498.248 %———vs BF16L109 @ main
malaiwah/EXL3-S16-V-research 12.7922 GiB whole tree as built [L89]rejected: 1.5x the pre-registered 0.030 threshold [L26]S16-V (this build)EXL313.74download0.04537491.73 %——kld_99 0.543578vs BF16L89 @ main
malekoo/MLX-4bit +2.2% relative to bf16 [L33]4.501 effective bits/weight in prose [L22]MLX 4-bit (group size 64, affine)MLX15.00download————ppl:wikitext2 7.0871vs BF16L22 @ main
malekoo/MLX-8bit size ~29 GB on disk; 8.501 effective bits/weight in prose only [L22]decode speed and peak memory also reported, not quality [L33]MLX 8-bit (group size 64, affine)MLX29.00download———+0.14%ppl:wikitext-2 6.9447vs BF16L22 @ main
malekoo/MLX-bf16 lossless bf16 conversion, ~54 GB on disk [L31]peak memory ~54 GB on M5 Max [L126]Qwen3.8-27B-MLX-bf16MLX54.00download——6.9352——other or no referenceL31 @ main
manitcor/Obliterated-E03-bnb-4bit KLD is first-token only over 33 prompts, max 0.3652 [L144-145]Refusal/coherence rows describe abliteration behavior [L138-139]Peak CUDA 22.74 GB, steady 17.66 GB on A100 reload [L153,L197]NF4 artifactbitsandbytes———3.41066.25%capability checks 83.3%vs BF16L140 @ main
mauromedda/fucina-qwen38-v2 Decode throughput table is speed only [L105-110]Not promoted for general production or multimodal quality [L122]custom NVFP4 local-Hessian v2 packedother—————tool-eval-bench 86/100reference not statedL115 @ main
MESHIVEAI/Qwen-3.8-27B-Q4_K_M-Imatrix wikitext PPL and KLD on Wikitext-2 test [L50-L58]delta PPL vs F16 is absolute, not percent [L59]size is weights-only from prose [L126]imatrix calibrated on Wikitext-2 train, same domain as eval [L233-L234]Q4_K_M imatrix (this model)other16.80text weights (excl. vision, MTP)0.017486 ± 0.00020194.18% ± 0.066.9619—ppl:korean-wikipedia 6.9485; ppl_delta_pct:korean-wikipedia +1.02%other or no referenceL54 @ main
Mia-AiLab/EXL3-3.5bpw tool-eval-bench 87-88/100 given as range in prose [L149]needle test: 10%/50% depth pass at 300k [L107-109]Qwen3.8-27B-EXL3-3.5bpwEXL314.20unknown————tool-eval-bench 87–88 / 100other or no referenceL19 @ main
MiawTeam/Uncensored-GGUF only file with a PPL value in Files table [L77-89]Qwen3.8-27B-Uncensored-Q4_K_M.ggufGGUF16.80download————ppl:wikitext-2 PPL = 7.1814 +/- 0.25227other or no referenceL80 @ main
MiawTeam/Uncensored-GGUF benchmarks are on bf16 abliterated weights, not on the GGUF quants [L152-153]KL is first-token divergence from the base caused by abliteration, not quantization error [L208]0-shot, deltas within standard error [L152-155]Qwen3.8-27B-Uncensored (bf16, abliterated)GGUF—————MMLU 83.3; ARC-Challenge 57.7; HellaSwag 82.9; Winogrande 75.3; kld:first-token-vs-base 0.1191other or no referenceL146 @ main
Mihai-LeanZero/Atlassian-Q6_K-GGUF Same top-1 token 98.5 [L33]; maximum KLD 6.626617 not mappedModel is an Atlassian-adapter fine-tune; KLD is Q6_K vs its own bf16 GGUF [L33]Q6_KGGUF—0.0030698.5———vs BF16L33 @ main
Mihai-LeanZero/Atlassian-Q8_0-GGUF maximum KLD 10.87871 also stated [L33]app-compile counts from llama-server are task scores, not mapped [L37]Q8_0GGUF—0.00084299.374———vs BF16L33 @ main
Minachist/INT5-Flat-5.7bpw-AutoRound Stated as 5.73 bpw [L18]mean KL cell includes SE [L31]INT5-Flat 5.7bpwAutoRound———7.9638 ppl:wikitext—kld:wikitext 0.008392 (±SE 0.000113); top1:wikitext 95.980 %; kld_99 0.079737vs BF16L31 @ main
Minachist/INT6-Flat-6.6bpw-AutoRound 6.60 bpw stated in prose [L18]; card warns KLD not comparable across methods [L26]p99.9 KL 0.095758 [c11], max 2.923414 [c12]INT6-Flat 6.6bpwAutoRound—0.003051 (±SE 0.000047)97.471 %7.9294—kld_99 0.025704vs BF16L32 @ main
Minachist/INT6-Mixed-AutoRound bpw 7.30 stated in prose [L20]loaded weights 12.19 GiB per GPU under TP2, not a total size [L123]median/p90/p95/p99.9/max KL also reported [L36-41]INT6-MixedAutoRound—0.001980 (±SE 0.000051)97.905 %7.9183—kld_99 0.014824vs BF16L35 @ main
Minachist/INT8-AutoRound ln(PPL ratio) given [L85]linear-attn-bf16-gs128AutoRound36.83download————kld:wikitext 0.000956 ± 0.000021; top1:wikitext 98.59%; kld_99 0.00610vs BF16L28 @ main
Minachist/INT8-AutoRound ln(PPL ratio) given [L85]linear-attn-bf16AutoRound36.40download————kld:wikitext 0.00110 ± 0.00001; top1:wikitext 98.47%; kld_99 0.00719vs BF16L26 @ main
Minachist/INT8-AutoRound ln(PPL ratio) given [L85]main-gs128AutoRound31.46download————kld:wikitext 0.00101 ± 0.00002; top1:wikitext 98.52%; kld_99 0.00666vs BF16L27 @ main
Minachist/INT8-AutoRound ln(PPL ratio) given, not a plain ratio [L85]PPL base 7.9112 to quantized 7.9101 [L84]mainAutoRound30.92download————kld:wikitext 0.00124 ± 0.00002; top1:wikitext 98.40%; kld_99 0.00825vs BF16L25 @ main
mlx-bun/Trellis-3.2bpw Size 11.99 GB is from prose [L67]; complete download with MTP companion 12.25 GB [L69]Card states 3.23 bpw [L65]Differences vs BF16 compare complete inference configurations, not weight quantization alone [L111]Thirteen GPQA responses hit the token limit and scored incorrect [L85]Qwen3.8-27B-Trellis-3.2bpwMLX11.99download————GSM8K-Platinum_flexible 96.28%; GSM8K-Platinum_strict 96.11%; GPQA Diamond 72.73%vs BF16L67 @ main
mlx-community/OptiQ-4bit table says 19.0 GB, later prose says 18.9 GB on disk [L39,L85]mixed precision: 261 layers 8-bit, 237 layers 4-bit [L32-L33]OptiQ-4bitMLX19.00download————MMLU 84.1%; GSM8K 96.1%; IFEval 77.1%; BFCL-V3-simple 93.5%; HumanEval 92.1%; HashHop 85.0%; Capability-Score 87.98reference not statedL39 @ main
mtrskeen/ninfer-minq4-mtpq4-visionq4-5080 PPL +0.04 is simulated and relative to the IQ3_XXS anchor, not BF16 [L50]RULER NIAH retrieval 3/3 at each of 8K/32K/64K [L94]Speed and VRAM figures omittedqwen3_8_27b_minq4_mtpq4_visionq4.ninferother—————gsm8k_cot 0.96other or no referenceL50 @ main
mudler/APEX-GGUF comparison uses trunk-only files; published Mini is 13.94 GB (c1), about 0.45 GB larger with MTP head [L32,L69]APEX-I-Mini (trunk-only comparison build)GGUF13.49download0.049020————vs BF16L62 @ main
mudler/APEX-GGUF published Nano is 11.24 GB (c3) [L33,L69]APEX-I-Nano (trunk-only comparison build)GGUF10.79download0.121640————vs BF16L63 @ main
MuXodious/absolute-heresy.rc12-GGUF piqa 0.4951 and winogrande 0.4957 are near chance level, as printed [L16,L23]refusals 2/101 [L13]chosen release candidate [L38]RC1 (Trial 377) Q4_K_MGGUF—————piqa_acc 0.4951; piqa_acc_norm 0.4951; copa 0.55; winogrande 0.4957other or no referenceL13 @ main
MuXodious/absolute-heresy.rc12-GGUF refusals 6/101 [L25]benchmark values identical to RC1 [L28-35]RC2 (Trial 318) Q4_K_MGGUF—————piqa_acc 0.4951; piqa_acc_norm 0.4951; copa 0.55; winogrande 0.4957other or no referenceL25 @ main
nerkyor/Uncensored-Heretic-T10-BF16 Scores are for the Q8_0 GGUF of an uncensored/Heretic-abliterated model, not compared against base Qwen3.8-27B [L52-54]Refusal140 hard refusal 1/140 c4, soft disclaimer 32/140 c5 [L59-60]LCB difficulty easy 23/23, medium 30/31, hard 23/46 [L64]Frozen Q8_0 resultsother—————MMLU500 435/500 (87.0%); GPQA198 169/198 (85.35%)other or no referenceL56 @ main
neroued/nvfp4-NInfer size is resident MTP3 weights 19.729 GiB [L259]IFBench is prompt-level strict [L310]; one sample per problemNInfer NVFP4NVFP421.18resident————GPQA-Diamond 90.40%; ERQA 66.25%; RealWorldQA 83.53%vs BF16L259 @ main
nibor1896/CNQ4.5 median KLD (c56) not mapped, no key [L315]kld_99 is the p99 of per-token KLD [L315]Qwen3.8-27B-CNQ4.5 (container, f32 math)other17.84download0.2233 ± 0.019086.05 %——kld_99 2.92; kld:code 0.4435; kld:prose 0.1456vs BF16L32 @ main
nicosuter/AWQ weights size before KV cache [L194]; recovery has 95% CI; scores pooled over two passes for GPQA, LCB, MMMU-Pro [L105-107]; table does not report delta ids here (deltas c22,c27,c32,c37,c42,c46,c51)Qwen3.8-27B-AWQAWQ21.50download————BFCL 81.33; GPQA_Diamond 88.64; LiveCodeBench_v6 89.14; MMMU-Pro 75.84; Multimodal 86.34; macro_5_suites 84.26; RULER 92.90other or no referenceL112 @ main
nm-testing/MXFP6A8 calibration-free compressed-tensors quant [L16]Qwen3.8-27B-MXFP6A8other—————GSM8K 0.770vs BF16L39 @ main
notnaurw/oQ5e-SAGE-ARCS-mtp kld:agentic and kld:stock are truncated head-KL (top-1024), not full-vocab KL [L404,L409,L506]agentic head-KL 0.3166 is a pooled figure, corpora not comparable with each other [L261,L433]size 19.68 GiB (21.13 GB) printed in headline, basis not stated [L79]ppl ratios 0.993 and 0.997 cover both builds, order not stated, omitted [L336]SAGE-ARCSother21.13unknown————kld:agentic 0.3166; kld:stock 0.014518; kld:agentic_fullvocab 0.352813vs BF16L79 @ main
notnaurw/oQ5e-SAGE-CREST-mtp Main tables are not in the candidate list; only prose values captured [L197,L390,L644,L652]Agentic head-KL is corpus-dependent and not comparable to generalist head-KL [L577]SAGE-CRESTother22.50download————kld:generalist_head 0.010114; kld:agentic_full_vocab 0.268643; kld:agentic_head 0.2433vs BF16L80 @ main
notnaurw/oQ5e-SAGE-PATHS-mtp head-KL values are not comparable across corpora [L573]agentic-basis head-KL 0.2794 and full-vocab KL 0.310274 given in prose only [L396,L637]vision tower removed; text-only [L72]bpw counted over whole checkpoint incl. bf16 MTP head [L104]SAGE-PATHSother20.96download————kld:generalist_head 0.012280; kld:agentic_head 0.2794; kld:agentic_full_vocab 0.310274vs BF16L84 @ main
notnaurw/oQ5e-SAGE-mtp mean_kld is head-KL over bf16 top-1024 logits, not full-vocab KL [L200]top-1 agreement is a fraction (0.9523), not a percent [L264]per-rung HTML tables (stock, ladder, top-5, ppl ratio) have no candidate ids; only prose values mapped21.13 GB (19.68 GiB) shipped size incl. bf16 MTP head [L77]SAGE oQ5e mtp (shipped build)other21.13download0.0103480.9523——kld:full_vocab 0.011516vs BF16L77 @ main
nova-quill/OBLITERATUS-OBLITERATED-unsloth-mlx MMLU is for the abliterated weights; card does not say which format (bf16 vs MLX/GGUF quant) was evaluated [L112-116]stderr +/-0.65, n=2,850 [L116]V2 (s78, blend)MLX—————MMLU 84.32%other or no referenceL116 @ main
okayuji/coreml-agent agent benchmark 48/48 runs passed [L124]top-1 agreement vs bf16 633/640 (98.9%), 0 hard flips [L256-258]int4 build (unpublished): 11 hard top-1 flips in 640 positions vs 0 for int8 [L238-240]int8 Core ML bundleother30.30download—633/640 (98.9%)———vs BF16L124 @ main
Omega-Factory/GGUF 1 seed [L60]Q8_0GGUF29.05download————ARC-MC 94.5% (Δ 0.0 pp); GSM8K 63.5% (Δ +4.5 pp); MATH-500 22.0% (Δ -1.0 pp)other or no referenceL34 @ main
Omega-Factory/GGUF GSM8K drop -25.5 pp vs FP16 [L35]1 seed [L61]Q4_K_MGGUF16.81download————ARC-MC 95.0% (Δ +0.5 pp); GSM8K 33.5% (Δ -25.5 pp); MATH-500 17.5% (Δ -5.5 pp)other or no referenceL35 @ main
Omega-Factory/GGUF GSM8K 86.0% exceeds FP16 59.0% and Q8_0, as printed [L36]1 seed [L62]Q2_KGGUF10.86download————ARC-MC 93.0% (Δ -1.5 pp); GSM8K 86.0% (Δ +27.0 pp); MATH-500 10.0% (Δ -13.0 pp)other or no referenceL36 @ main
oracomputing/OQ3-GGUF retention 95.4% (c15) [L47]size from Files table [L35]; body BPW c14OQ3 (this repo)GGUF10.54download————MMLU-Pro 73.94; AIME-25 90.42; Average 82.18other or no referenceL35 @ main
orcarouter/OrcaSAQ-2-27B WikiText-2 table [L116-119]3.21 bpw is decoder average [L273]OrcaSAQ2 27Bother12.30download0.03193.2%5.6482+0.02%—vs BF16L97 @ main
orcarouter/MLX KLD p95 0.00233 in table [L112] not mapped (no key)group size 328-bitMLX31.00download0.0006898.34 %———vs BF16L95 @ main
orcarouter/MLX KLD p95 in table [L113] not mappedgroup size 326-bitMLX24.00download0.0021696.97 %———vs BF16L96 @ main
orcarouter/MLX KLD p95 in table [L114] not mappedgroup size 644-bitMLX16.00download0.0282492.68 %———vs BF16L97 @ main
OS-Software/Hemmingway-1-Uncensored-Heretic-GGUF KL divergence is of the abliterated model vs the original, not a quantization metric [L45]refusal counts 0/100 vs 95/100 omitted [L44]no quant type or size stated in candidatesThis model (Heretic decensored)GGUF—0.0474————vs BF16L45 @ main
OS-Software/MTP-heretic-ja-GGUF KL divergence measures abliteration drift from unsloth/Qwen3.8-27B, not quantization loss [L33]refusal keywords 0/100 vs original 100/100 [L32], not mappeddecensored Qwen3.8-27B (heretic-ja)GGUF—0.0528————vs BF16L33 @ main
OS-Software/Uncensored-Heretic-v2-GGUF KL divergence here measures the abliterated model vs the original, not quantization loss [L33]Refusal keywords score is 0/100 for this model vs 98/100 original; not a fidelity metric [L32]No per-quant GGUF sizes or quant levels listed in the cardUncensored-Heretic-v2 (this model)GGUF—0.0182————other or no referenceL33 @ main
OS-Software/Uncensored-Heretic-v3-GGUF KL divergence vs original model as reported by the abliteration tool [L40]Refusals 0/100 vs 99/100 for original (not a quality metric key) [L39]Upstream Qwen3.8-27B benchmark tables pasted from original card are not measurements of this model [L172-499]This model (Heretic abliterated)GGUF—0.0087————vs BF16L40 @ main
oshiteku/Sanshoku-GGUF Small-scale local evaluation [L66]; top-1 and KL averaged over chat and coding-agent prompts, thinking and non-thinking [L76]Per-file sizes: Q2_0 7.70, PQ2_0 7.28, PTQ1_0 6.00 GB [L35-37]; eval table does not say which fileSanshokuGGUF7.3download0.29784.4%——SWE-bench Verified Mini 18%vs BF16L70 @ main
pearsonkyle/GPTQ-W4A16 KLD values are medians, range 0.0021-0.0205 across 6 distributions; lowest on agentic, highest on general English [L104,L109]5.2 bpw overall, trunk 4.05 bpw [L60,L127]vision 3/3 probe [L106]W4A16 (GPTQ int4 g128 sym)GPTQ19.43download————SchemaValidRate 0.948; MalformedToolCalls 0; kld:agentic 0.0021; kld:general_english 0.0205vs BF16L42 @ main
pearsonkyle/imatrix-MTP-GGUF KLD is median [L89]size includes bundled Q8_0 MTP head [L80]agentic rows are a band within +-3.8pp, not a ranking [L108]Q5_K_MGGUF19.68download————ppl:external 23.274; kld:external 0.0036; top1:external 91.8%; kld:general 0.0062; kld:tools 0.0014; kld:agentic 0.0006; kld:broad 0.0076; kld:cal8k 0.0025; Tool-selection acc 0.474; Param accuracy 0.265other or no referenceL97 @ main
pearsonkyle/imatrix-MTP-GGUF recommended default [L69]KLD is median [L89]IQ4_XSGGUF15.54download————ppl:external 31.118; kld:external 0.0105; top1:external 88.2%; kld:general 0.0154; kld:tools 0.0032; kld:agentic 0.0013; kld:broad 0.0204; kld:cal8k 0.0062; Tool-selection acc 0.503; Param accuracy 0.274other or no referenceL97 @ main
pearsonkyle/imatrix-MTP-GGUF KLD is median [L89]IQ3_MGGUF13.04download————ppl:external 37.363; kld:external 0.0354; top1:external 82.4%; kld:general 0.0569; kld:tools 0.0115; kld:agentic 0.0048; kld:broad 0.0702; kld:cal8k 0.0261; Tool-selection acc 0.454; Param accuracy 0.239other or no referenceL97 @ main
pearsonkyle/imatrix-MTP-GGUF KLD is median [L89]tool-selection acc cell for IQ2_M not in candidates [L102]IQ2_MGGUF10.46download————ppl:external 56.540; kld:external 0.1242; top1:external 72.0%; kld:general 0.2199; kld:tools 0.0498; kld:agentic 0.0169; kld:broad 0.2691; kld:cal8k 0.0840; Param accuracy 0.260other or no referenceL97 @ main
penkia/TernaryQuench-GGUF download 10.86 GB [L40]second-half PPL scores last 256 tokens of each chunk [L59]1.55% relative RMS weight error from packing [L107]TernaryQuench 27B (Q2_K)GGUF10.86download————ppl:wikitext2 12.8569; ppl_second_half:wikitext2 10.0972; PIQA 78.78; ARC-Easy 78.96; ARC-Challenge 55.29; HellaSwag 73.96; WinoGrande 74.43vs BF16L40 @ main
penkia/TernaryQuench-MLX size is download size [L42]zero-shot accuracies in L75 are for the full-ternary training checkpoint, not this MLX artifact [L68-70]TernaryQuench 27B (MLX)MLX10.53download————ppl:wikitext2 12.8492reference not statedL42 @ main
penkia/TernaryQuench-MLX not the MLX artifact [L68-70]TernaryQuench 27B (full-ternary training checkpoint, lm-eval)MLX—————PIQA 78.51; ARC-Easy 79.29; ARC-Challenge 54.01; HellaSwag 73.48; WinoGrande 72.93reference not statedL75 @ main
perkel/MC In-VRAM 23.58 GiB (c18) [L53]MCXXL (qwen3.8-27b-xxl.mcapy)other28.20download0.005198.3%——kld:reasoning 0.0007; kld:math 0.0008; kld:code 0.0069; kld:chat 0.0151; kld:wiki 0.0021vs BF16L53 @ main
perkel/MC In-VRAM 18.66 GiB (c14) [L52]MCLarge (qwen3.8-27b-large.mcapy)other22.90download0.008197.7%——kld:reasoning 0.0009; kld:math 0.0010; kld:code 0.0075; kld:chat 0.0283; kld:wiki 0.0026vs BF16L52 @ main
perkel/MC In-VRAM 15.39 GiB (c10) [L51]MCMedium (qwen3.8-27b-medium.mcapy)other19.50download0.029895.2%——kld:reasoning 0.0058; kld:math 0.0078; kld:code 0.0290; kld:chat 0.0874; kld:wiki 0.0190vs BF16L51 @ main
perkel/MC In-VRAM 13.67 GiB (c6) [L50]MCSmall (qwen3.8-27b-small.mcapy)other17.60download0.047893.8%——kld:reasoning 0.0107; kld:math 0.0138; kld:code 0.0424; kld:chat 0.1456; kld:wiki 0.0262vs BF16L50 @ main
perkel/MC In-VRAM 12.70 GiB also given (c2) [L49]MCTiny (qwen3.8-27b-tiny.mcapy)other16.60download0.058292.7%——kld:reasoning 0.0138; kld:math 0.0156; kld:code 0.0471; kld:chat 0.1750; kld:wiki 0.0395vs BF16L49 @ main
Pilcothink/MixedInt2-ultra-lite Custom mixed-precision INT2, group sizes 32/64/128 [L46-47]Recovery rate 93.78% MMLU, 59.42% GSM8K flexible, 50.22% GSM8K strict [L62-63,L85]Qwen3.8-27B-MixedInt2-ultra-lite (flexible)other—————MMLU 78.30%; GSM8K flexible 43.29%; GSM8K strict 35.33%other or no referenceL62 @ main
Pilcothink/MixedInt4-AutoRound ARC-Challenge and MMLU Humanities quantized cells missing from table (difference 0.00 pp, recovery 100%) [L60,L72]recovery rates e.g. MMLU 99.50% (c6), avg 99.38% (c33)group size 32 [L43]Qwen3.8-27B-MixedInt4-AutoRoundAutoRound—————MMLU 83.07%; BoolQ 80.49%; HellaSwag 82.40%; PIQA 81.66%; WinoGrande 76.16%; Average 76.97%other or no referenceL58 @ main
PocketAiHub/Abliterated-MTPLX-Optimized-Speed KL measures abliteration drift vs regular MTPLX, not quantization loss vs BF16 [L118]size is download payload 21.31 GB [L68]median, p95, per-suite KLs stated in prose but without ids; speed tables not mappedAbliterated MTPLX Optimized Speedother21.31download—85.94———vs BF16L68 @ main
poisonxa/PXQN-OneCard ppl_ratio is assistant-token perplexity vs Q8_0 [L118]KLD is vs Q8_0, not bf16 [L96]PXQN OneCard (this file)other13.56download0.021395.1%——ppl:wikitext-2 6.979vs a Q8_0L104 @ main
PollardWeights/Penjing-27B-Pollard Recommended default; ik_llama.cpp [L58]Penjing-27B-IQ2_KT.ggufother7.4download0.421779.10%—+23ppl:wikitext2 5.0817other or no referenceL70 @ main
PollardWeights/Penjing-27B-Pollard Penjing-27B-IQ2_XXS.ggufother7.2download0.514276.38%—+31ppl:wikitext2 5.4312other or no referenceL69 @ main
PollardWeights/Penjing-27B-Pollard Smallest rung; runs in ik_llama.cpp [L60]Penjing-27B-IQ1_KT.ggufother6.5download0.551375.88%—+40ppl:wikitext2 5.7864other or no referenceL68 @ main
primitive-ai/mixed-NVFP4-FP8 table header prints 'G'; prose [L45] states GiBsingle-leg row [L90] is the same repo, not a separate buildthis repoNVFP422.23download————overall 88.8; knowledge 90.4; call 85.5; abstain 54.5vs BF16L85 @ main
ProCreations/bonsai-2-27b-gsq-rco-gguf PPL stated 5.84% lower than original Bonsai (sign is lower) [L35]Paired accuracy changes vs original Bonsai all include zero in 95% bootstrap interval [L36,L50-55]File 6,496,332,448 bytes (6.496 GB) stated in prose [L21]Bonsai GSQ + RCOGGUF—————ppl:wikitext2 8.1627; ARC-C 60.67; ARC-E 80.13; HellaSwag 77.80; Winogrande 74.11vs BF16L35 @ main
pugant/MTP-Q3_0_ROCMFPX PPL and delta share one cell [L82]agent Q3_0_ROCMFPX_AGENTGGUF19.54download————ppl:en 6.7665 (+1.89%); ppl:it 11.9541 (+2.04%); ppl_delta_pct:en 6.7665 (+1.89%); ppl_delta_pct:it 11.9541 (+2.04%)vs BF16L82 @ main
pugant/MTP-Q3_0_ROCMFPX PPL and delta share one cell, e.g. '6.9943 (+5.32%)' [L81]effective bpw 4.44 vs nominal 3.50 [L146]base Q3_0_ROCMFPXGGUF15.17download————ppl:en 6.9943 (+5.32%); ppl:it 12.3121 (+5.09%); ppl_delta_pct:en 6.9943 (+5.32%); ppl_delta_pct:it 12.3121 (+5.09%)vs BF16L81 @ main
quark75/EXL3-3.0bpw ~13 GB on disk [L19]EXL3 3.0bpwEXL313.00download0.048791%6.985——vs BF16L19 @ main
quark75/Q4_0.gguf ~15 GB file size from prose [L15]~4.5 bits/weight effective stated in prose only [L14]values carry +/- error terms [L24-27]Qwen3.8-27B-Q4_0GGUF15.00download0.0400 +/- 0.000491.4% +/- 0.07%7.0892 +/- 0.0460——vs BF16L15 @ main
QUASAR-QAT/QUASAR-NVFP4 496/496 linears NVFP4 [L82]QUASAR (this model)NVFP419.70download————GPQA-Diamond 90.91; AIME'26 100.0; MRCR 79.1; MRCR 8-needle 52.7; HMMT'26 73.4; SuperGPQA 62.4; LiveCodeBench 79.2; RULER 32K 96.3; RULER 64K 96.2; RULER 128K 95.8vs BF16L82 @ main
r0b0tlab/EXL3-4.00bpw weights on disk 15.4 GiB [L31]4.00 bpw decoder, 6 bpw lm_head [L23]EXL3 4.00 bpwEXL316.54download————bpw 4.00 bpwreference not statedL31 @ main
Rabbit-Hole-Ai/5090-goldilocks-GGUF size 23.4 GiB from prose [L283]; bpw label 7.36 [L185]median KLD c42 also reported [L222]imatrix build (thireus-7.4bpw-imatrix)GGUF25.13download0.00167898.278%——kld_99 0.014266vs BF16L185 @ main
Rabbit-Hole-Ai/5090-goldilocks-GGUF median KLD c38 [L221]RTN build (thireus-7.4bpw, original)GGUF—0.00180098.050%——kld_99 0.015519vs BF16L96 @ main
Rabbit-Hole-Ai/5090-goldilocks-GGUF table of builds vs this cook [L185]this cook (7.36 bpw class), corpus AGGUF—————kld:corpus A 0.001606; top1:corpus A 98.250%vs BF16L185 @ main
RadixArk/NVFP4-BF16-LMHead also evaluated on Terminal-Bench 2.1 per L89; only GSM8K in candidatescalibration: 1,024 cnn_dailymail samples, seq len 512 [L81]Qwen3.8-27B-NVFP4-BF16-LMHeadNVFP4—————GSM8K 96.13% (1,268/1,319)reference not statedL123 @ main
rapid-mlx/mixed-3.5bpw-MLX identical-subset comparison [L123-127]mixed 3.5bpw (subset)MLX13.00download————MMLU-Pro (n=200) 60.5; GSM8K (n=60) 93.3; MMBench-EN (n=150) 86.0other or no referenceL125 @ main
rdtand/PrismaAQUA-5.5bit-vllm max KL 1.3292 (c4.1) not mappedKL is truncated to teacher top-1024 plus lumped bucket, coverage mean 0.988 min 0.573 [L56-57]5.5002 bits per parameter excludes BF16 lm_head and embed_tokens [L32,L198]no downstream task suite run by the pipeline [L209]PrismaQuant AQUA-AURA 5.5 bppother23.60download————kld:all_positions 0.0338; kld:confident_positions 0.0187; kld_99 0.2917vs BF16L32 @ main
rdtand/PrismaAQUA-gridbook-13GB-5080-vllm KL is a top-K logprob approximation, not full-vocab [L338]; mean_kld mapped to the all-positions value c35 [L323]size is weights+codebooks 12.959 GB (12.069 GiB) [L39]; bpw 3.855 over all 498 units, body-only 3.604 [L54-57]internal embed/head per-unit KL options [L243-248] are allocator choices, not mappedPrismaAQUA gridbook 13GBother12.96download0.0916786.47 %—+4.56kld:confident_positions 0.05617; top1:confident_positions 96.87 %; ppl:wikitext2 9.792vs BF16L39 @ main
rdtand/PrismaScout-AQUA-Vision-20GB size 19978899058 bytes (18.6068 GiB) and 5.0737 bits per quantizable parameter are prose only [L50-53]KL confident-positions 0.0254206691 [c2]; KL max 2.379668877 [c4.1]PrismaScout-AQUA-Vision-20GBother—0.0439023734—9.648316858—kld_99 0.409348640vs BF16L115 @ main
RedHatAI/MXFP4 no candidate table cells; scores given in prose list below [L143,L149,L155,L161]v2 rows (AIME 2026 97.8%, Terminal-Bench 2.1 55.4%) compare two checkpoints; attribution to this model not fully visible [L249,L260,L277-278]v1 scores are 3-seed (AIME25 8-seed) averages [L170]Qwen3.8-27B-MXFP4MXFP4—————GSM8K Platinum 96.25%; MATH-500 83.67%; AIME 2025 96.67%; GPQA Diamond 89.56%; AIME 2026 97.8%; Terminal-Bench 2.1 55.4%reference not statedL143 @ main
Reza2kn/Bev weights not trained or quantized by Bev; redistribution of Prism ML ternary model [L27]7.21 GB model file per headline [L21]benchmark is synthetic and correlated, not a quant fidelity measure [L120]Bev (byte-identical Prism Ternary-Bonsai-2-27B GGUF)other7.2download————Jev Noul % 95.00other or no referenceL21 @ main
RonnieOps/uncensored-IQ4_XS KL vs BF16 undefined for pruned vocab, not measured [L75,L81]standalone PPL 6.4248 +/- 0.04 in prose [L80]custom domain suite, not public benchmark [L167]E4-ASCII pruned IQ4_XS (this quant)other14.58download——6.4248——vs BF16L57 @ main
RukaRat/INT8-W8A8-imatrix-heretic-MTP noise floor about 2 items [L93-94]NER 28/40 vs 33-35 on other builds [L96-97]refusal rates: harmful 0% off c19, 3.3% on c20; benign-but-refused 0% on c21 [L67]trial-time Heretic KL 0.0621 is not deployed behaviour [L60-62]INT8 W8A8 imatrix heretic MTP (this one)INT831.25download————quality/160 130other or no referenceL48 @ main
RukaRat/W4A16-imatrix-heretic-int8head-MTP Size 16.6 GiB c18 in context table [L178]Card says 130-135/160 spread is a tie, rerun of same build moved 2 items [L226-228]Refusal evals: harmful 0/60 thinking off c6.0/c6.1, 1/30 thinking on c7, benign-but-refused 0/60 and 0/30 [L66-69]; identical output vs plain build 183/200 c2.0/c2.1 [L61]W4A16 + int8 head, abliterated (this one)INT8—————five_task_battery_correct_of_160 134other or no referenceL218 @ main
sakamakismile/EXL3-6.5bpw same recipe baked three times with different md5 [L54]; 20-question probe, cannot rank [L34]; Huihui and Qwopus rows are other models, omitted [L29-31]published casting is the best seconds-per-correct of the three (value 27.0) [L56]Qwen3.8-27B EXL3 6.5bpw casting aEXL3—————MMLU-Pro_first20 15other or no referenceL28 @ main
sakamakismile/EXL3-6.5bpw same recipe baked three times with different md5 [L54]; 20-question probe, cannot rank [L34]; Huihui and Qwopus rows are other models, omitted [L29-31]Qwen3.8-27B EXL3 6.5bpw casting bEXL3—————MMLU-Pro_first20 15other or no referenceL28 @ main
sakamakismile/EXL3-6.5bpw same recipe baked three times with different md5 [L54]; 20-question probe, cannot rank [L34]; Huihui and Qwopus rows are other models, omitted [L29-31]Qwen3.8-27B EXL3 6.5bpw casting cEXL3—————MMLU-Pro_first20 16other or no referenceL28 @ main
sammyblues/IQ2_XS-GGUF HellaSwag-100 intervals wide, directional only [L102-103]64L IQ2_XS (published)GGUF9.1download————ppl:wikitext2 8.0306; HellaSwag-100 75%vs BF16L108 @ main
sdkyuan/qat-q2_0-gguf table cells are HTML without candidate ids; values given via prose [L49-52]Qwen3.8-27B-QAT-Q2_0GGUF8.8download————top1:reasoning 94.7%; kld:reasoning 0.029; top1:code 93.3%; kld:code 0.064; top1:tool_calling 78.7%; kld:tool_calling 0.638; top1:wikitext 78.3%; kld:wikitext 0.302other or no referenceL48 @ main
shisa-ai/FP8-BLOCK Median KLD 0.001737 c6 [L55]; harness resolves differences to ~1e-3, bootstrap CI +/-2e-3 [L50, L63]GDN in_proj_qkv/z/out_proj kept BF16 vs official FP8 [L39-40]Qwen3.8-27B-FP8-BLOCK (this model)FP836.40download0.00411097.18%——kld_99 0.041333vs BF16L55 @ main
sigmanih/Qwen-GGUF-IQ1_S measured on a slice of each dataset, not full suite (7-14 questions each) [L100]tool-protocol adherence 62.0% c38, autonomous completion 0.0% c40 [L107-108]Qwen3.8-27B GGUF IQ1_SGGUF8.8download————ARC-Challenge 67%; GPQA 11%; GSM8K 33%; HellaSwag 44%; HumanEval 43%; MATH 0%; MBPP 33%; MMLU 36%; MMLU-Pro 11%; TruthfulQA 67%reference not statedL46 @ main
sigmanih/Qwen-GGUF-IQ2_S measured on a slice of each dataset, not the full suite; per-benchmark n is 7-14 questions [L100,L85-96]Autonomous task completion 0.0% (0/1) not mapped [L108]Thinking mode 28/43 and no-thinking 43/57 [L78-79]Qwen3.8-27B-GGUF-IQ2_SGGUF10.71download————Overall 71%; ARC-Challenge 100%; BIG-Bench Hard 86%; GPQA 22%; GSM8K 89%; HellaSwag 78%; HumanEval 100%; MATH 67%; MBPP 56%; MMLU 57%; MMLU-Pro 67%; TruthfulQA 78%other or no referenceL46 @ main
sigmanih/Qwen-GGUF-IQ2_XXS measured on a slice of each dataset, not full suite; not comparable with full-suite runs [L100]per-dataset n is 7-14 questions [L85-96]no-thinking 80.7% (c8) vs thinking 67.4% (c10) [L78-79]tool protocol 75.0% adherence, autonomous completion 0.0% [L107-108]IQ2_XXSGGUF9.9download————ARC-Challenge 100%; BIG-Bench Hard 100%; GPQA 22%; GSM8K 89%; HellaSwag 67%; HumanEval 100%; MATH 78%; MBPP 89%; MMLU 64%; MMLU-Pro 56%; TruthfulQA 78%other or no referenceL46 @ main
sigmanih/Qwen-GGUF-Q4_K_M Measured on a slice of the dataset, not full suite; not comparable with full-suite runs [L100]Tiny samples (7-14 questions per dataset) [L85-96]Overall 79/100; no-thinking 77.2% (44/57), thinking 81.4% (35/43) [L78-79]Tool protocol adherence 94.6% but listed as 0/92 criteria verified and autonomous task completion 0/1 [L107-108]Q4_K_M GGUFGGUF15.66download————Overall 79%; ARC-Challenge 100%; BIG-Bench Hard 86%; GPQA 56%; GSM8K 100%; HellaSwag 67%; HumanEval 100%; MATH 89%; MBPP 67%; MMLU 57%; MMLU-Pro 78%; TruthfulQA 89%reference not statedL46 @ main
sigmanih/Qwen-GGUF-Q5_K_M measured on a slice of datasets (75/100 questions overall, 7-14 per dataset), not comparable to full-suite runs [L100]tool-protocol adherence 93.5% but 0/92 criteria and 0/1 scenarios completed [L107-108]Qwen3.8-27B-GGUF-Q5_K_MGGUF18.19download————ARC-Challenge 100%; BIG-Bench Hard 71%; GPQA 22%; GSM8K 89%; HellaSwag 67%; HumanEval 100%; MATH 89%; MBPP 78%; MMLU 64%; MMLU-Pro 67%; TruthfulQA 89%; NoThinking 80.7%; Thinking 67.4%other or no referenceL46 @ main
signalnine/MTP-q27 HumanEval+ is 29/30; id gives solved count out of 30 [L34]q6k (v2)other22.52download——7.1718 ppl:wikitext—HumanEval+ 29reference not statedL34 @ main
signalnine/MTP-q27 HumanEval+ is 28/30; id gives solved count out of 30 [L33]q6 (v2)other19.76download——7.2233 ppl:wikitext—HumanEval+ 28reference not statedL33 @ main
signalnine/MTP-q27 HumanEval+ is 30/30; id gives solved count out of 30 [L32]default (v2)other17.00download——7.3121 ppl:wikitext—HumanEval+ 30reference not statedL32 @ main
signalnine/MTP-q27 HumanEval+ is 30/30; id gives solved count out of 30 [L31]q4s (v2)other15.70download——7.3765 ppl:wikitext—HumanEval+ 30reference not statedL31 @ main
singulared/ROCmFP4-MTP-GGUF PPL +/- 0.0417; +0.129 vs STRIX (c54) [L147]ROCMFP4-COHERENTGGUF15.47download——6.5002 ± 0.0417——other or no referenceL147 @ main
singulared/ROCmFP4-MTP-GGUF PPL +/- 0.0402 [L145]vs-STRIX delta column not mapped (not a listed key) [L142-147]ROCMFP4-STRIXGGUF14.76download——6.3715 ± 0.0402——other or no referenceL145 @ main
singulared/ROCmFP4-MTP-GGUF PPL +/- 0.0404; +0.025 vs STRIX (c51) [L146]card says FAST is 4.25 bpw [L218]ROCMFP4-FASTGGUF14.31download——6.3968 ± 0.0404——other or no referenceL146 @ main
slevinw/Heretic-Abliterated-Uncensored-GGUF delta vs F16 [L345]RVN-Q5_K_M.gguf (standard)GGUF————+2.23%ppl:tiny_shakespeare 4.6493other or no referenceL345 @ main
slevinw/Heretic-Abliterated-Uncensored-GGUF text perplexity only; vision not measured [L346,L350]RVN-Q5_K_M-vision.ggufGGUF————+2.24%ppl:tiny_shakespeare 4.6497other or no referenceL346 @ main
slevinw/Heretic-Abliterated-Uncensored-GGUF [L347]RVN-Q4_K_M-vision.ggufGGUF————+7.20%ppl:tiny_shakespeare 4.8751other or no referenceL347 @ main
slevinw/Heretic-Abliterated-Uncensored-GGUF [L348]RVN-Q3_K_M-vision.ggufGGUF————+24.2%ppl:tiny_shakespeare 5.6490other or no referenceL348 @ main
slevinw/Heretic-Abliterated-Uncensored-GGUF KL is abliteration damage vs base model, not quantization KL; refusals 0-1/100 range on 100 harmful prompts [L128-132]RVN (this repo, abliteration vs base)GGUF—0.0085————other or no referenceL132 @ main
slevinw/Heretic-Abliterated-Uncensored-GGUF absolute PPL deltas, eval corpus not stated [L239-243]Q4_K_M multilingual (pilot)GGUF—————ppl_delta:wiki_imatrix_vs_F16 -0.0002; ppl_delta:wiki_imatrix_vs_legacy +0.0156; ppl_delta:multilingual_vs_F16 +0.0038; ppl_delta:multilingual_vs_legacy -0.0074other or no referenceL243 @ main
slevinw/Heretic-Abliterated-Uncensored-GGUF absolute PPL deltas, eval corpus not stated [L239-244]IQ4_XS multilingual (pilot)GGUF—————ppl_delta:wiki_imatrix_vs_F16 +0.0290; ppl_delta:wiki_imatrix_vs_legacy +0.0060; ppl_delta:multilingual_vs_F16 +0.0091; ppl_delta:multilingual_vs_legacy -0.0083other or no referenceL244 @ main
SmokeyPete/Heretic-NVFP4-DGX-Spark calibration abisee/cnn_dailymail 1,024 x 512 tokens [L205]HumanEval base BF16 97.56% given but this-model value not in candidates [L114]Heretic NVFP4 (this model)NVFP421.95download————GSM8K 96.82%; HumanEval+ 92.68%vs BF16L41 @ main
soyrsoyr/W4A16-AWQ-GPTQ recovery % vs bf16: c3,c6,c9,c12,c15,c18,c21,c24,c27 [L81-100]MMLU and GSM8K omitted as harness artifacts [L87-90]W4A16-AWQ-GPTQAWQ—————OpenLLM v1 average 64.75; Reasoning average 85.54vs BF16L81 @ main
staccs/lecore-mlx Card admits the export is uniform 4-bit group 64 with 4-bit embeddings and 6-bit lm_head, not a mix; fair baseline is stock MLX 4-bit [L20]Benchmarks are subsets, about +-2-4 points noise [L34]leCore Unicron mix (this repo)MLX15.45text weights (excl. vision, MTP)————ppl:wikitext2 8.1249; ppl:python-code 2.7038; MMLU 5-shot 84.9%; GSM8K strict 91.0%; GSM8K flexible 89.0%vs BF16L30 @ main
Steven10429/UD-IQ4_XS-MLX size on disk 16.45 GB is in the row label of [L32], no candidate idre-quantization of a quantized model [L113]this repo (UD-IQ4_XS to MLX)MLX—————ppl:wikitext2 6.4428vs BF16L33 @ main
stosc/qwen3_8_27b_nvfp4_v100.ninfer IFBench is prompt-level strict [L264]; instruction-level strict 80.50%, prompt-level loose 80.33%, instruction-level loose 83.50% [L271]File size 22.09 GiB (23,719,715,844 bytes) is in a separate artifact table [L119]NInfer NVFP4NVFP4—————IFBench 77.00%; AIME 2025 96.67%; AIME 2026 96.67%; GPQA-Diamond 90.40%; ERQA 66.25%; RealWorldQA 83.53%vs BF16L264 @ main
sunnyyy/NInfer IFBench is prompt-level strict [L187]deltas within +/-3.1 points on four overlapping benchmarks [L201]NInfer groupwise-intother—————AIME2025 96.67%; AIME2026 96.67%; GPQA-Diamond 87.37%; ERQA 66.25%; RealWorldQA 82.22%vs BF16L187 @ main
sunnyyy/nvfp4-NInfer IFBench is prompt-level strict [L273]accuracy, rule-based scoring [L265-267]Qwen3.8-27B NVFP4 (NInfer)NVFP4—————AIME 2025 96.67%; AIME 2026 96.67%; GPQA-Diamond 90.40%; ERQA 66.25%; RealWorldQA 83.53%other or no referenceL273 @ main
syvai/3090-fast-variant Extras repo: only lm_head and MTP draft requantized to int4, perplexity +0.6% vs bf16, GSM8K unchanged [L13]model-00007-of-00007.safetensors (lm_head requantized to int4)other————+0.6% perplexity vs bf16—vs BF16L13 @ main
talxcc/Tals-coder-flash-01 retention % vs Q4_K_M with no per-benchmark scores or method [L47-48,65]Tals-coder-flash-01other11.86download————Coding_Retention 99.9%other or no referenceL65 @ main
tcclaviger/RFI8-AA as shipped [L41]Qwen3.8-27B upstream benchmark tables (L135-285) are the base model's, omittedW8A8, fp8 KV cache (as shipped)other———6.9392——vs BF16L41 @ main
TechnoBaptist/Ternary-Bonsai-2-27B-gguf Card text appears to mirror the PrismML Bonsai 2 27B card; benchmark figures are as printed [L31-35,L206-256]GSM8K cell for Bonsai missing from per-benchmark table [L244]MBPP+ missing for UD-Q4_K_XL and MMMU-Pro missing for UD-Q4_K_XL in table [L249,L254]Sizes describe language model alone, vision tower separate [L85]Bonsai 2 27BGGUF5.9text weights (excl. vision, MTP)————MMLU-Redux 89.09; MuSR 70.63; MATH-500 98.80; AIME25 95.00; AIME26 95.83; HumanEval+ 95.12; MBPP+ 83.07; LiveCodeBench 90.07; IFEval 91.31; IFBench 74.00; BFCL v3 74.92; MMMU-Pro 75.49; OCR Bench v2 56.88other or no referenceL215 @ main
TelperionAI/EXL3-4.0bpw [L34]near-tie/moderate/certain/divmed columns and KV-cache table (L132-134) not mappedconfident is the pre-registered decider, lower is better [L126]EXL3 4.0 bpw (this model, AWQ-smoothed)EXL316.00download—93.82%———vs BF16L34 @ main
TelperionAI/EXL3-4.0bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]TelperionAI EXL3 4.0bpw-v2EXL316.00download—95.16%———vs BF16L43 @ main
TelperionAI/EXL3-5.5bpw [L31]near-tie/moderate/certain/divmed columns and KV-cache table (L132-134) not mappedconfident is the pre-registered decider, lower is better [L126]EXL3 5.5 bpw (this model, AWQ-smoothed)EXL320.00download—96.12%———vs BF16L31 @ main
TelperionAI/EXL3-5.5bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]TelperionAI EXL3 5.5bpw-v2EXL320.00download—96.26%———vs BF16L43 @ main
TelperionAI/EXL3-6.5bpw [L30]near-tie/moderate/certain/divmed columns and KV-cache table (L132-134) not mappedconfident is the pre-registered decider, lower is better [L126]EXL3 6.5 bpw (this model, AWQ-smoothed)EXL323.00download—97.10%———vs BF16L30 @ main
TelperionAI/FP8-block-AWQ Top-1 column read as agreement with BF16 base [L28-30]Near-tie/moderate/confident/certain disagreement buckets, divmed and tok/s not mapped (no key) [L30]FP8 block + AWQ (this model)AWQ30.00unknown—96.22%———vs BF16L30 @ main
TelperionAI/INT4-AWQ-GPTQ size includes ~0.85 GB BF16 MTP head [L61]perplexity deliberately excluded [L71]bucket columns are disagreement rates; divmed higher is betterthis model (INT4 AWQ+GPTQ)AWQ25.10download—96.30%———vs BF16L55 @ main
TelperionAI/INT4-AWQ-GPTQ-gdn4 top-1 is argmax agreement with BF16 [L66]this model (GDN 4-bit)AWQ22.60download—95.88%——near-tie disagree 25.26%; moderate disagree 3.60%; confident disagree 1.15%; certain disagree 0.13%; divmed 51vs BF16L59 @ main
TelperionAI/NVFP4-AWQ-AutoRound size includes ~0.85 GB BF16 MTP head [L63]no KLD or perplexity reported [L73][L57]this modelNVFP424.70download—93.38%——divmed 28vs BF16L57 @ main
TelperionAI/NVFP4-AWQ-AutoRound-allfp4 size includes ~0.85 GB BF16 MTP head [L64]no KLD or perplexity reported; perplexity excluded on purpose [L74][L57]this model (all-FP4)NVFP423.80download—93.05%———vs BF16L57 @ main
TelperionAI/NVFP4-AWQ-GPTQ size includes ~0.85 GB BF16 MTP head [L63]perplexity deliberately excluded [L74]this model (NVFP4+AWQ)NVFP424.70download—93.44%———vs BF16L57 @ main
ThakiCloud/NVFP4-FP8ATTN GSM8K strict delta vs bf16 -8.33pp, p 0.004 [L92]Rebuild noise floor for GSM8K strict is 3.56pp [L117]this build (NVFP4 MLP + FP8 attention)NVFP422.90download————MMMU-val MC 0.8707; HAERAE 0.7654; KoBEST 0.6670; belebele-ko 0.8983; ARC-Challenge 0.5733; IFEval prompt-strict 0.3179vs BF16L45 @ main
ThakiCloud/NVFP4-GPTQ-mm +0.8pp vs bf16 c3, McNemar p = 0.754 c4 [L107]; no detectable quality differenceGSM8K not run on this build [L134]Earlier bf16 MMMU 0.4511 withdrawn as harness error [L115]this build (Qwen3.8-27B-NVFP4-GPTQ-mm)NVFP430.14download————MMMU-val MC 0.8537vs BF16L36 @ main
ThakiCloud/NVFP4-GPTQ-txt GSM8K gap vs bf16 is within the author's rebuild-to-rebuild noise floor, so not attributable [L231-240]MMMU McNemar p = 0.453, no detectable difference [L107,L109]Only MLP stack is 4-bit; attention and others kept bf16 [L34-53]this build (NVFP4-GPTQ-txt)NVFP430.14download————MMMU-val MC 0.8577; HAERAE 0.7608; KoBEST 0.6745; belebele-ko 0.9083; ARC-Challenge 0.5750; IFEval prompt-strict 0.3142vs BF16L36 @ main
ThakiCloud/W4A16-AWQ card says score with flexible-extract, not strict-match [L18]size from prose [L13]one run, GSM8K only [L86]this build (AWQ)AWQ18.59download————GSM8K_en_strict 0.4147; GSM8K_en_flexible 0.5299; GSM8K_ko_strict 0.5921; GSM8K_ko_flexible 0.6156vs BF16L13 @ main
ThakiCloud/W4A16-GPTQ Scores printed as fractions [L40]Rebuild noise floor: two identical-recipe builds differ by 3.56pp on GSM8K en strict, 27.08pp on RAG fabrication rate [L51-65]RAG fabrication 9.17% (n=240) for this build not mapped [L64]W4A16 GPTQ (this build)GPTQ18.59download————GSM8K-en-strict 0.5155; GSM8K-en-flexible 0.5603; GSM8K-ko-strict 0.5785; GSM8K-ko-flexible 0.6505vs BF16L40 @ main
thederby/oQ4e-fp16-mtp this repo (bold row) [L27]oQ4e fp16other17.90download0.035190.5%10.47——vs BF16L27 @ main
thederby/oQ4e-mtp this repo, bold row [L26]oQ4e bf16other17.00download0.035890.6%10.47——vs BF16L26 @ main
thederby/oQ5e-fp16-mtp this repo in bold [L22]fp16 builds ~0.9 GB larger because vision tower kept in float32 [L38-39]oQ5e fp16other21.20download0.010394.9%10.28——vs BF16L29 @ main
thederby/oQ5e-mtp bold row = this repo [L28]KL slightly underestimates full KL [L44]oQ5e bf16other20.30download0.010694.9%10.28——vs BF16L28 @ main
thederby/oQ6e-fp16-mtp this repo in bold [L31]oQ6e fp16other24.60download0.002897.1%10.22——vs BF16L31 @ main
thederby/oQ6e-mtp this repo in bold [L22]top-256 truncated KL [L44]oQ6e bf16other23.70download0.003397.2%10.23——vs BF16L30 @ main
thederby/oQ8e-fp16-mtp this repo, bold row [L33]KL computed on top-256 tokens, compare only with same method [L43-45]oQ8e fp16other30.90download0.000798.4%10.20——vs BF16L33 @ main
thederby/oQ8e-mtp this repo in bold [L32]oQ8e bf16other30.00download0.001098.6%10.21——vs BF16L32 @ main
TheDrainFlorist/VQ-3.9bpw superseded table [L121]this model [old prose-only 2048 table]other13.39download——5.229—kl_mnats:prose 85.8; top1:prose 86.1%vs BF16L121 @ main
TheDrainFlorist/VQ-4.8bpw superseded, not comparable with three-corpus table [L111,L122]VQ-4.8bpw (superseded prose-only 2048 table)other16.59download32.8 mnats90.8%5.162——vs BF16L54 @ main
thousandml/CQ-4bit [L36,L37]calibration-free 4-bit method [L26]CQ 4-bitother—0.028292.4%———other or no referenceL36 @ main
timteh673/Opus-Abliterix-Reasoning-MLX-8bit table compares BF16 models, not the MLX 8-bit release itself [L39]Benign KL is divergence from control, an abliteration effect, not quantization KL [L52]Full code count is passes out of 421 [L47]held-out loss ratio omitted as ambiguous [L51]abliterix-pass1-bf16 (winner)MLX—0.093614———Capability macro 21.0086%; Full code 10; HumanEval 4.2683%; Long-form pass 62.5000%; MMMU30 11; Harmful hard refusal 0.0%vs BF16L43 @ main
ToBeStyled/ColdFusion-GAIN-Blackwell-DFlash2-Ultra-V1.0 perplexity 2.8059 +/- 0.034 [L112]+15.5% decode for +2.7% perplexity vs Q4_K_M [L115]this repo NVFP4 + Q8_0 head/embedother16.90download——2.8059 ± 0.034——other or no referenceL112 @ main
ToBeStyled/ColdFusion-GAIN-Blackwell-DFlash2-Ultra-V1.0 build used for accuracy table not specified [L65-68]This model (accuracy table)other—————HumanEval-50 pass@1 94.0%; GSM8K-50 96.0%other or no referenceL67 @ main
tooltd/GSQ-RCO-BuffedMod-GGUF identical core metrics to IQ4XS MTP variant [L82]BuffedMod (Q6_K MTP, Q6_K output.weight)GGUF11.59download0.051790.54%7.0321—kld_99 KLD: 0.586696vs BF16L78 @ main
tooltd/GSQ-RCO-BuffedMod-GGUF detailed stats L115-135 shared by both BuffedMod rows; table values identical for both [L77-78]BuffedMod (IQ4XS MTP, Q6_K output.weight)GGUF11.49download0.051790.54%7.0321—kld_99 KLD: 0.586696vs BF16L77 @ main
tooltd/IQ4-XS-16GB-VRAM-GGUF Same Top-p (%) column mapped to top1_pct; label ambiguous [L58]EvalPlus pass@1 with q4_0 KV cache [L32]ZB4.00-MIN-v5.1-IQ4_XSGGUF12.74download0.03381092.309%7.106519—HumanEval 0.945; HumanEval+ 0.921; MBPP 0.897; MBPP+ 0.780vs BF16L37 @ main
tooltd/IQ4-XS-16GB-VRAM-GGUF ZB3.88-MIN-v5-IQ3_M_XLGGUF12.34download0.04216491.452%7.132594—HumanEval 0.945; HumanEval+ 0.915; MBPP 0.91; MBPP+ 0.775vs BF16L39 @ main
tooltd/IQ4-XS-16GB-VRAM-GGUF ZB3.73-MIN-v5.1-IQ3_M_LGGUF11.88download0.04811790.759%7.199937—HumanEval 0.927; HumanEval+ 0.896; MBPP 0.881; MBPP+ 0.757vs BF16L43 @ main
tooltd/IQ4-XS-16GB-VRAM-GGUF GSQ-RCO-BuffedModGGUF11.49download0.05173890.535%7.032142—HumanEval 0.921; HumanEval+ 0.890; MBPP 0.897; MBPP+ 0.772vs BF16L41 @ main
tooltd/IQ4-XS-16GB-VRAM-GGUF EvalPlus row labelled ZB3.00bpw-IQ3_XXS [L45]ZB3.0BPW-IQ3_XXSGGUF9.6download0.12050385.320%7.474669—HumanEval 0.927; HumanEval+ 0.884; MBPP 0.865; MBPP+ 0.743vs BF16L45 @ main
trevest/Tetris-GGUF ppl_delta_pct is vs Q8_0 not BF16 [L24-28]Tetris 4.4bpwGGUF15.06download——7.1453+2.24%—vs a Q8_0L28 @ main
Triody/NVFP4-AllLinear two shards 9,959,955,840 + 7,034,658,960 bytes, no single size id [L126-127]speed table (tokens/s) not mapped [L95-99]Qwen3.8-27B-NVFP4-AllLinear (int8 draft)NVFP4—————GSM8K_lenient 97.25%; GSM8K_strict 96.00%; HumanEval_lenient 91.46%; HumanEval_strict 86.59%vs BF16L110 @ main
UgurI/Turkish-CPT-GGUF Continued-pretraining fine-tune, so deltas vs base reflect Turkish CPT, not quantization loss [L19, L36-42]Q4_K_M 15.41 GB, 4.92 BPW stated [L24]Qwen3.8-27B-Turkish-CPT-Q4_K_M.ggufGGUF15.41download————ppl:turkish_validation 6.9360; ppl:turkish_test 7.3303; TurkishMMLU 75.56%; Belebele TR 90.00%; Belebele EN 96.67%other or no referenceL24 @ main
varshavvvvv/Ternary-CyberX-2-27B-gguf ternary; same quality numbers apply to both PTQ1_0 and PQ2_0 packings, which are not benchmarked separately [L44,L85]GSM8K has no Bonsai cell [L244]Bonsai 2 27BGGUF5.9text weights (excl. vision, MTP)————MMLU-Redux 89.09; MuSR 70.63; MATH-500 98.80; AIME25 95.00; AIME26 95.83; HumanEval+ 95.12; MBPP+ 83.07; LiveCodeBench 90.07; IFEval 91.31; BFCL v3 74.92; MMMU-Pro 75.49; OCR Bench v2 56.88other or no referenceL215 @ main
vrfai/FP8 Drift table [L99-110] reports delta vs bf16 and noise floor per task (AI2D, ChartQA, ScienceQA-IMG, MMStar, OCRBench, CountBenchQA, RealWorldQA, OmniDocBench, MathVision, ERQA); deltas not mapped, no matching metric keySize 28.3 GB is the Quantized weights row [L124]; base model 52 GB [L23]Qwen3.8-27B-FP8 (This model)FP828.30download————MathVision 84.54; ERQA 63.75vs BF16L75 @ main
vrfai/FP8-dynamic absolute scores, MathVision n=304 ERQA n=400 [L75-76]size 28.3 GB vs base 52 GB [L23]Qwen3.8-27B-FP8-dynamic (absolute scores)FP828.30download————MathVision 82.89; ERQA 65.25vs BF16L75 @ main
vrfai/FP8-dynamic deltas in points vs bf16; noise floors listed per task (c50,c53,c56,c59,c62,c65,c68,c71,c74,c77) [L101-110]deltas smaller than floor are measurement noise per card [L112-113]Qwen3.8-27B-FP8-dynamic (drift vs bf16)FP8—————AI2D_delta_vs_bf16 -0.58; ChartQA_delta_vs_bf16 -0.08; ScienceQA-IMG_delta_vs_bf16 +0.00; MMStar_delta_vs_bf16 +2.33; OCRBench_delta_vs_bf16 +0.50; CountBenchQA_delta_vs_bf16 +0.00; RealWorldQA_delta_vs_bf16 +0.26; OmniDocBench_delta_vs_bf16 -2.26; MathVision_delta_vs_bf16 -3.29; ERQA_delta_vs_bf16 +0.25vs BF16L101 @ main
vrfai/NVFP4 Absolute scores only for MathVision and ERQA [L79-83]; other tasks are drift vs bf16 only, with a bf16-vs-bf16 noise floor [L90-105]Measured on H100 where activations stay bf16, so effectively W4A16 not W4A4; card calls these an upper bound on Blackwell accuracy [L29]Drift table verdict column not captured; deltas smaller than floor are noise per card [L118-123]Qwen3.8-27B-NVFP4 (this model)NVFP418.40download————MathVision 81.91; ERQA 66.25vs BF16L81 @ main
WarlaxZ/NInfer-3090 KLD on held-out corpus vs Unsloth Q8_0 [L83-90]Perplexity change vs upstream -0.93% / -0.50% not mapped [L80-81]NInfer-3090 artifact (4-bit embedding)other—0.0318———ppl:perplexity-1m 4.3023; ppl:heldout-2026-09 4.3178other or no referenceL80 @ main
WaveCut/MLX-4bit-DWQ KL is against the 8-bit teacher, not BF16 [L45-L46]acceptance threshold and 63.596% reduction vs baseline stated in prose [L58-L59]DWQ final (1,024 examples)MLX—0.074299————other or no referenceL56 @ main
wiklif/KTopt-GGUF Benchmark table header gives 10.3 GB [L65]; size from KLD table, GGUF + 32 MB adapter [L115]Benchmarks at 200k output limit with q8_0 KV [L63,L101]KTopt + EoRA r64GGUF10.31download0.0644 kld:prose———GPQA Diamond 89.4 ± 4.3; IFBench_loose 85.3; IFBench_strict 81.7; LiveCodeBench v6 85.5 ± 6.0; kld:code 0.0419vs a Q8_0L67 @ main
wiklif/KTopt-GGUF without EoRA adapter [L116]KToptGGUF10.31download0.0662 kld:prose———kld:code 0.0429vs a Q8_0L116 @ main
XpressAI/RYS-GGUF RYS value missing for simple_python, live_parallel, live_simple (change 0.00) [L73,L76,L79]BFCL gain not statistically decisive; math probe diagnostic only [L32-39]not the full 3,641-case BFCL suite [L62-63]RYS 16-19 UD-Q4_K_XLGGUF18.90download————Reasoning probe 70.59%; EQ-140 81.66; BFCL micro 83.20%; BFCL macro 81.81%; Math probe 0.750other or no referenceL43 @ main
yeasah/exl3 mean_kld is excess KLD [L40]6.00 bpwEXL322.95download———+0.03%—vs BF16L33 @ main
yeasah/exl3 mean_kld is excess KLD [L40]5.00 bpwEXL319.91download———+0.14%—vs BF16L32 @ main
yeasah/exl3 mean_kld is excess KLD [L40]4.00 bpwEXL316.87download———+0.37%—vs BF16L31 @ main
yeasah/exl3 mean_kld is excess KLD [L40]3.00 bpwEXL313.67download———+1.79%—vs BF16L30 @ main
yeasah/exl3 mean_kld is excess KLD, not raw KLD [L40]VRAM columns exllamav3 7.32 GiB, vLLM 7.13 GiB not used [L29]2.00 bpwEXL310.63download———+9.62%—vs BF16L29 @ main
YourHighnessLA/L0xRE-27b-Low-MTP internal suite, directional only [L73]; three passes [L71]L0xRE-27b-Low-MTPother—————internal_suite_pass@1 124–126 / 150other or no referenceL71 @ main
Youssofal/MTPLX-Bare-Speed download size 16.0 GB [L96]; peak unified memory 17.0 GB [L97]KL 0.0376 on coding battery; different corpus than the 2,389-position figures [L90]Bare Speedother16.00download————kld:coding battery 0.0376vs BF16L96 @ main
Youssofal/MTPLX-Optimized-Quality Download size 29.4 GB; peak unified memory 32.7 GB c6 measured [L94-95]Card also says KL to bf16 on coding battery 0.00105, 21x closer than Optimized Speed and 36x closer than Bare Speed [L88-89]Optimized Quality (8-bit dynamic)other29.40download————top1:code_prose_json_multilingual 99.3 percent; kld:coding_battery 0.00105vs BF16L94 @ main
Youssofal/MTPLX-Optimized-Speed size is download [L98]peak unified memory 23.6 GB [L99]KL 0.0220 on coding battery [L93] is a different measurementOptimized Speed (4-bit dynamic)other20.40download0.01296.0 percent top-1 agreement——kld:code 0.0220vs BF16L58 @ main
YTan2000/TQ TQ_Lother14.72download0.02293.7 %——GSM8K 94.9 %; GPQA-Diamond 87.88 %; BenchLoop_speed 91.9; BenchLoop_coding 87.5; BenchLoop_dataextract 88.4; BenchLoop_instructfollow 84.5vs BF16L85 @ main
YTan2000/TQ TQ_M has KLD only [L94]TQ_Mother13.14download0.04591.2 %———vs BF16L85 @ main
YTan2000/TQ GPQA on RTX 3090 [L92]TQ_Sother12.55download0.05590.1 %——GSM8K 94.6 %; GPQA-Diamond 82.83 %; BenchLoop_speed 93.2; BenchLoop_coding 85.4; BenchLoop_dataextract 89.0; BenchLoop_instructfollow 91.1vs BF16L85 @ main
YTan2000/TQ GSM8K and MMLU-Pro XS cells marked * were run on RTX 3090, others on GB10 [L88-L92]MMLU-Pro 291 questions has standard error about 2.4 points; GSM8K differences within noise [L93]BenchLoop on RTX 3090 [L96]TQ_XSother11.85download0.07988.6 %——GSM8K 95.4 % \*; GPQA-Diamond 84.85 %; BenchLoop_speed 92.6; BenchLoop_toolcall 86.7; BenchLoop_coding 79.2; BenchLoop_dataextract 92.9; BenchLoop_instructfollow 76.7; BenchLoop_reasonmath 80.0vs BF16L85 @ main
YTan2000/TQ3_4S first-pass battery; reasoning-off [L167]tool-call 86.7 uses v2 template; v1 81.7 in prose [L52]Qwen3.8-27B-TQ3_4S-v2.gguf (recommended)other13.80download————Hard86 74/86 (86.0%); HumanEval 92.7; HumanEval+ 88.4; MBPP 90.5; MBPP+ 77.2; CodingSuite 93.8; ReasonMathSuite 86.7; ToolCallSuite 86.7; DataExtractSuite 80.2; InstructionFollowSuite 62.2other or no referenceL41 @ main
zarigata/FeveQwen-1.0 behavioral derivative (refusal-subspace projection), not a quant; KL/PPL reference and corpus not stated [L56-59]Ollama build is Q4_K_M at 4.92 bits/weight but metrics are not tied to it [L98]FeveQwen 1.0 (tune-set candidate E02)other—0.106—3.42—Coherence 100% (10/10); Capability_checks 83% (5/6)reference not statedL56 @ main
zedongpeng/NInfer-4090 KL64 is top-64 truncated KL, not full-vocab [L49]top-1 printed as fraction 0.9250, not percent [L54]vision, MTP, long-context not evaluated [L57-58]this modelother—0.06190.92503.213—kld:prose 0.0265; kld:code 0.1018vs BF16L54 @ main
zerodigest/YMQ-MTP-GGUF size only in row label (~9.8 GB), no candidate id [L64]XXSGGUF—0.193804 ± 0.0022———ppl:wikitext2 7.7848reference not statedL64 @ main
zerodigest/YMQ-MTP-GGUF size only in row label (~10.2 GB) [L65]XS-TIGGUF—0.168378 ± 0.001935———ppl:wikitext2 7.6090reference not statedL65 @ main
zerodigest/YMQ-MTP-GGUF size only in row label (~12.9 GB) [L66]M-TIGGUF—0.104087 ± 0.0016———ppl:wikitext2 7.0109reference not statedL66 @ main
zerodigest/YMQ-MTP-GGUF size only in row label (~19.0 GB) [L69]KL reference not statedXLGGUF—0.011598 ± 0.0005———ppl:wikitext2 6.8196reference not statedL69 @ main
Zynerji/Ektome-PristinelyUncensored quality figures are for the bf16 abliterated parent, not for any quant [L103]Ektome (this repo, bf16 safetensors)other54.00download————MMLU-val 0.818other or no referenceL43 @ main
Zynerji/Ektome-PristinelyUncensored-GPTQ-MTP MMLU delta -0.015 within SE 0.0195 [L148]receipts measured on the 4-bit weights [L140-143]L231-232 limitation says receipts are from bf16 parent, contradicting L142-143weights 17.7 GiB in prose [L93]; 19.56 GB table size [L38]calibration: 512 wikitext-2 samples, g128 [L225]this 4-bit build (GPTQ-MTP)GPTQ19.56download————MMLU-val 0.8025; RefusalCompliance 0.990vs BF16L38 @ main
0xBakeer/TandemLLM-EXL3-2.5 reference perplexity [L18]publisher comparison buildBF16 referenceEXL3—————ppl:wikitext-2 perplexity is 6.849. Speed is tokens pervs BF16L18 @ main
0xBakeer/TandemLLM-EXL3-4.5 [L18]publisher comparison buildBF16EXL3—————ppl:wikitext-2 6.849vs BF16L18 @ main
0xBakeer/TandemLLM-EXL3-6.0 BF16 perplexity 6.849 stated in prose [L18]publisher comparison buildBF16 referenceEXL3—————ppl:wikitext2 perplexity is 6.849. Speed is tokens pervs BF16L18 @ main
0xBakeer/TandemLLM-NVFP4 double-rounded via FP8 release [L29]publisher comparison buildold full set (from FP8 release)NVFP4—————loss_delta:prose +0.0284; loss_delta:code +0.0507vs BF16L70 @ main
1bit-MONSTER/Q4_0-H32-GGUF pp512 approximate (~400) [L40]publisher comparison buildQ4_0, exact int8GGUF—0.02991.9%6.021——vs BF16L40 @ main
1bit-MONSTER/Q4_0-H32-GGUF pp512 given as a range 461-488, not mapped [L41]publisher comparison buildQ4_0, W4A4 without rotationGGUF—0.08487.4%6.241——vs BF16L41 @ main
6block/GGUF not in this repo [L59]publisher comparison buildmaster BF16GGUF53.81download——6.7856 ± 0.07388——vs BF16L59 @ main
abhishekchohan/AWQ-INT4-FP8KV weights byte-identical to this model; differs only in KV dtype [L63-65]publisher comparison buildQwen3.8-27B-AWQ-INT4 (bf16 KV)AWQ—————GSM8K 95.45; GPQA Diamond 61.62; Minerva Math500 80.0; ARC-Easy 82.37; ARC-Challenge 56.83; HellaSwag 55.85; Winogrande 76.48; TruthfulQA MC1 35.50other or no referenceL69 @ main
abhishekchohan/GPTQ-INT4 unquantized base on same harness [L61]publisher comparison buildBF16 baseGPTQ—————GSM8K 95.60; GPQA-Diamond 64.65; RealWorldQA 84.31; MathVision 78.06vs BF16L67 @ main
airagrp/mlx-mxfp8-L [L78]publisher comparison buildQwen3.8-27B (bf16 reference)MLX55.57download——6.935——vs BF16L78 @ main
airagrp/mlx-mxfp8-L [L86]publisher comparison buildmlx-mxfp8-XLMLX38.99download0.0037—6.937——vs BF16L86 @ main
airagrp/mlx-mxfp8-L [L84]publisher comparison buildmlx-mxfp8-MMLX31.98download0.0068—6.893——vs BF16L84 @ main
airagrp/mlx-mxfp8-L [L83]publisher comparison buildmlx-nvfp4-XLMLX30.97download0.0382—7.024——vs BF16L83 @ main
airagrp/mlx-mxfp8-L [L82]publisher comparison buildmlx-mxfp8-SMLX28.58download0.0278—6.922——vs BF16L82 @ main
airagrp/mlx-mxfp8-L [L81]publisher comparison buildmlx-nvfp4-LMLX23.96download0.0407—6.987——vs BF16L81 @ main
airagrp/mlx-mxfp8-L [L80]publisher comparison buildmlx-nvfp4-MMLX23.16download0.0490—6.983——vs BF16L80 @ main
airagrp/mlx-mxfp8-L [L79]publisher comparison buildmlx-nvfp4-SMLX20.56download0.0573—7.024——vs BF16L79 @ main
airagrp/mlx-mxfp8-M publisher comparison buildQwen3.8-27B (bf16 reference)MLX55.57download——6.935——vs BF16L78 @ main
airagrp/mlx-mxfp8-M publisher comparison buildQwen3.8-27B-mlx-mxfp8-XLMLX38.99download0.0037—6.937——vs BF16L86 @ main
airagrp/mlx-mxfp8-M publisher comparison buildQwen3.8-27B-mlx-mxfp8-LMLX37.36download0.0046—6.937——vs BF16L85 @ main
airagrp/mlx-mxfp8-M publisher comparison buildQwen3.8-27B-mlx-nvfp4-XLMLX30.97download0.0382—7.024——vs BF16L83 @ main
airagrp/mlx-mxfp8-M publisher comparison buildQwen3.8-27B-mlx-mxfp8-SMLX28.58download0.0278—6.922——vs BF16L82 @ main
airagrp/mlx-mxfp8-M publisher comparison buildQwen3.8-27B-mlx-nvfp4-LMLX23.96download0.0407—6.987——vs BF16L81 @ main
airagrp/mlx-mxfp8-M publisher comparison buildQwen3.8-27B-mlx-nvfp4-MMLX23.16download0.0490—6.983——vs BF16L80 @ main
airagrp/mlx-mxfp8-M publisher comparison buildQwen3.8-27B-mlx-nvfp4-SMLX20.56download0.0573—7.024——vs BF16L79 @ main
airagrp/mlx-mxfp8-S reference [L79]publisher comparison buildQwen3.8-27B (bf16 reference)MLX55.57download————ppl:wikitext-2 6.935vs BF16L79 @ main
airagrp/mlx-mxfp8-S publisher comparison buildQwen3.8-27B-mlx-mxfp8-XLMLX38.99download0.0037———ppl:wikitext-2 6.937vs BF16L87 @ main
airagrp/mlx-mxfp8-S publisher comparison buildQwen3.8-27B-mlx-mxfp8-LMLX37.36download0.0046———ppl:wikitext-2 6.937vs BF16L86 @ main
airagrp/mlx-mxfp8-S publisher comparison buildQwen3.8-27B-mlx-mxfp8-MMLX31.98download0.0068———ppl:wikitext-2 6.893vs BF16L85 @ main
airagrp/mlx-mxfp8-S publisher comparison buildQwen3.8-27B-mlx-nvfp4-XLMLX30.97download0.0382———ppl:wikitext-2 7.024vs BF16L84 @ main
airagrp/mlx-mxfp8-S publisher comparison buildQwen3.8-27B-mlx-nvfp4-LMLX23.96download0.0407———ppl:wikitext-2 6.987vs BF16L82 @ main
airagrp/mlx-mxfp8-S publisher comparison buildQwen3.8-27B-mlx-nvfp4-MMLX23.16download0.0490———ppl:wikitext-2 6.983vs BF16L81 @ main
airagrp/mlx-mxfp8-S publisher comparison buildQwen3.8-27B-mlx-nvfp4-SMLX20.56download0.0573———ppl:wikitext-2 7.024vs BF16L80 @ main
airagrp/mlx-mxfp8-XL [L78]publisher comparison buildQwen3.8-27B (bf16 reference)MLX55.57download——6.935——vs BF16L78 @ main
airagrp/mlx-mxfp8-XL [L85]publisher comparison buildQwen3.8-27B-mlx-mxfp8-LMLX37.36download0.0046—6.937——vs BF16L85 @ main
airagrp/mlx-mxfp8-XL [L84]publisher comparison buildQwen3.8-27B-mlx-mxfp8-MMLX31.98download0.0068—6.893——vs BF16L84 @ main
airagrp/mlx-mxfp8-XL [L83]publisher comparison buildQwen3.8-27B-mlx-nvfp4-XLMLX30.97download0.0382—7.024——vs BF16L83 @ main
airagrp/mlx-mxfp8-XL [L82]publisher comparison buildQwen3.8-27B-mlx-mxfp8-SMLX28.58download0.0278—6.922——vs BF16L82 @ main
airagrp/mlx-mxfp8-XL [L81]publisher comparison buildQwen3.8-27B-mlx-nvfp4-LMLX23.96download0.0407—6.987——vs BF16L81 @ main
airagrp/mlx-mxfp8-XL [L80]publisher comparison buildQwen3.8-27B-mlx-nvfp4-MMLX23.16download0.0490—6.983——vs BF16L80 @ main
airagrp/mlx-mxfp8-XL [L79]publisher comparison buildQwen3.8-27B-mlx-nvfp4-SMLX20.56download0.0573—7.024——vs BF16L79 @ main
airagrp/mlx-nvfp4-L reference [L79]publisher comparison buildQwen3.8-27B (bf16 reference)MLX55.57unknown——6.935——vs BF16L79 @ main
airagrp/mlx-nvfp4-L [L87]publisher comparison buildQwen3.8-27B-mlx-mxfp8-XLMLX38.99unknown0.0037—6.937——vs BF16L87 @ main
airagrp/mlx-nvfp4-L [L86]publisher comparison buildQwen3.8-27B-mlx-mxfp8-LMLX37.36unknown0.0046—6.937——vs BF16L86 @ main
airagrp/mlx-nvfp4-L [L85]publisher comparison buildQwen3.8-27B-mlx-mxfp8-MMLX31.98unknown0.0068—6.893——vs BF16L85 @ main
airagrp/mlx-nvfp4-L [L84]publisher comparison buildQwen3.8-27B-mlx-nvfp4-XLMLX30.97unknown0.0382—7.024——vs BF16L84 @ main
airagrp/mlx-nvfp4-L [L83]publisher comparison buildQwen3.8-27B-mlx-mxfp8-SMLX28.58unknown0.0278—6.922——vs BF16L83 @ main
airagrp/mlx-nvfp4-L [L81]publisher comparison buildQwen3.8-27B-mlx-nvfp4-MMLX23.16unknown0.0490—6.983——vs BF16L81 @ main
airagrp/mlx-nvfp4-L [L80]publisher comparison buildQwen3.8-27B-mlx-nvfp4-SMLX20.56unknown0.0573—7.024——vs BF16L80 @ main
airagrp/mlx-nvfp4-M publisher comparison buildQwen3.8-27B bf16 referenceMLX55.57download————ppl:wikitext2 6.935vs BF16L79 @ main
airagrp/mlx-nvfp4-M publisher comparison buildmlx-mxfp8-XLMLX38.99download————ppl:wikitext2 6.937; kld:wikitext2 0.0037vs BF16L87 @ main
airagrp/mlx-nvfp4-M publisher comparison buildmlx-mxfp8-LMLX37.36download————ppl:wikitext2 6.937; kld:wikitext2 0.0046vs BF16L86 @ main
airagrp/mlx-nvfp4-M publisher comparison buildmlx-mxfp8-MMLX31.98download————ppl:wikitext2 6.893; kld:wikitext2 0.0068vs BF16L85 @ main
airagrp/mlx-nvfp4-M publisher comparison buildmlx-nvfp4-XLMLX30.97download————ppl:wikitext2 7.024; kld:wikitext2 0.0382vs BF16L84 @ main
airagrp/mlx-nvfp4-M publisher comparison buildmlx-mxfp8-SMLX28.58download————ppl:wikitext2 6.922; kld:wikitext2 0.0278vs BF16L83 @ main
airagrp/mlx-nvfp4-M publisher comparison buildmlx-nvfp4-LMLX23.96download————ppl:wikitext2 6.987; kld:wikitext2 0.0407vs BF16L82 @ main
airagrp/mlx-nvfp4-M publisher comparison buildmlx-nvfp4-SMLX20.56download————ppl:wikitext2 7.024; kld:wikitext2 0.0573vs BF16L80 @ main
airagrp/mlx-nvfp4-S publisher comparison buildQwen3.8-27B (bf16 reference)MLX55.57download——6.935——vs BF16L78 @ main
airagrp/mlx-nvfp4-S publisher comparison buildQwen3.8-27B-mlx-mxfp8-XLMLX38.99download0.0037—6.937——vs BF16L86 @ main
airagrp/mlx-nvfp4-S publisher comparison buildQwen3.8-27B-mlx-mxfp8-LMLX37.36download0.0046—6.937——vs BF16L85 @ main
airagrp/mlx-nvfp4-S publisher comparison buildQwen3.8-27B-mlx-mxfp8-MMLX31.98download0.0068—6.893——vs BF16L84 @ main
airagrp/mlx-nvfp4-S publisher comparison buildQwen3.8-27B-mlx-nvfp4-XLMLX30.97download0.0382—7.024——vs BF16L83 @ main
airagrp/mlx-nvfp4-S publisher comparison buildQwen3.8-27B-mlx-mxfp8-SMLX28.58download0.0278—6.922——vs BF16L82 @ main
airagrp/mlx-nvfp4-S publisher comparison buildQwen3.8-27B-mlx-nvfp4-LMLX23.96download0.0407—6.987——vs BF16L81 @ main
airagrp/mlx-nvfp4-S publisher comparison buildQwen3.8-27B-mlx-nvfp4-MMLX23.16download0.0490—6.983——vs BF16L80 @ main
airagrp/mlx-nvfp4-XL publisher comparison buildbf16 referenceMLX55.57download————ppl:wikitext2 6.935vs BF16L78 @ main
airagrp/mlx-nvfp4-XL publisher comparison buildmlx-mxfp8-XLMLX38.99download0.0037———ppl:wikitext2 6.937vs BF16L86 @ main
airagrp/mlx-nvfp4-XL publisher comparison buildmlx-mxfp8-LMLX37.36download0.0046———ppl:wikitext2 6.937vs BF16L85 @ main
airagrp/mlx-nvfp4-XL publisher comparison buildmlx-mxfp8-MMLX31.98download0.0068———ppl:wikitext2 6.893vs BF16L84 @ main
airagrp/mlx-nvfp4-XL publisher comparison buildmlx-mxfp8-SMLX28.58download0.0278———ppl:wikitext2 6.922vs BF16L82 @ main
airagrp/mlx-nvfp4-XL publisher comparison buildmlx-nvfp4-LMLX23.96download0.0407———ppl:wikitext2 6.987vs BF16L81 @ main
airagrp/mlx-nvfp4-XL publisher comparison buildmlx-nvfp4-MMLX23.16download0.0490———ppl:wikitext2 6.983vs BF16L80 @ main
airagrp/mlx-nvfp4-XL publisher comparison buildmlx-nvfp4-SMLX20.56download0.0573———ppl:wikitext2 7.024vs BF16L79 @ main
akopytko/NVFP4-GGUF author-made plain Q4_0 [L62,L69]publisher comparison buildQ4_0 w/o imatrixGGUF15.71download0.037877 +/- 0.00044891.461 +/- 0.124%———vs BF16L62 @ main
Alogotron/MixQ4A6E8-GGUF [L100]publisher comparison buildQ6_KGGUF22.08download0.002099—6.6553——vs BF16L100 @ main
Alogotron/MixQ4A6E8-GGUF sibling release [L99]publisher comparison buildMixQ5A6E8-v0 (sibling)GGUF20.80download0.003083—6.6674——vs BF16L99 @ main
Alogotron/MixQ4A6E8-GGUF [L98]publisher comparison buildQ5_K_MGGUF19.23download0.003949—6.6715——vs BF16L98 @ main
Alogotron/MixQ5A6E8-GGUF publisher comparison buildQ6_KGGUF22.08download0.002099—6.6553——vs BF16L105 @ main
Alogotron/MixQ5A6E8-GGUF publisher comparison buildQ5_K_MGGUF19.23download0.003949—6.6715——vs BF16L103 @ main
Alogotron/MixQ5A6E8-GGUF publisher comparison buildMixQ4A6E8-v0 (sibling candidate)GGUF19.02download0.007835—6.6830——vs BF16L102 @ main
Alogotron/MixQ5A6E8-GGUF publisher comparison buildQ4_K_MGGUF17.77download0.009584—6.6921——vs BF16L101 @ main
amd/Quark-AWQ-INT4-W4A16 reference measured by the card author [L36]publisher comparison buildBF16 baseAWQ———8.4364 ppl:wikitext—BFCL_single_turn 24.38%vs BF16L29 @ main
anemll/anemll-forge- [L60-67]publisher comparison buildANEMLL previous packages / release 1 (ANE M6)other—0.183886.0%2.414—kld_99 2.28; ppl:verify_path 6.645; ppl:8k 8.096; ppl:64k 5.068vs BF16L60 @ main
Ar3ntiz/qwen3_27B_side8 4.22 bpp from row label, no candidate id [L56]publisher comparison buildSUC1 base (4.22 bpp)other14.18download0.031————vs BF16L56 @ main
armin1/NVFP4-FP8-Mixed-LH recipe ablation step, publisher's own build [L69]publisher comparison buildRadixArk recipe reproduced bit for bit (max calibration)NVFP4—0.0242————vs BF16L69 @ main
armin1/NVFP4-FP8-Mixed-LH recipe ablation step [L70]publisher comparison buildNVIDIA Local-Hessian recipe + BF16 lm_headNVFP4—0.0209————vs BF16L70 @ main
armin1/NVFP4-FP8-Mixed-LH recipe ablation step [L71]publisher comparison build+ last 8 MLPs in FP8NVFP4—0.0171————vs BF16L71 @ main
armin1/NVFP4-FP8-Mixed-LH-Heretic Publisher's non-abliterated sibling, same recipe [L110, L123]publisher comparison buildNVFP4-FP8-Mixed-LH (not abliterated)NVFP4—0.017895.98%——kld_99 0.206; GSM8K 96.06%vs BF16L110 @ main
AtomicChat/GGUF [L239]publisher comparison buildlayout: 16 lifted, plus a richer output headGGUF18.80download0.00800————vs BF16L239 @ main
AtomicChat/GGUF [L240]publisher comparison buildlayout: 24 layers liftedGGUF18.60download0.00743————vs BF16L240 @ main
AtomicChat/GGUF [L237]publisher comparison buildlayout: 32 layers lifted insteadGGUF18.40download0.00826————vs BF16L237 @ main
AtomicChat/GGUF [L238]publisher comparison buildlayout: 16 lifted, plus the attention gateGGUF18.40download0.00821————vs BF16L238 @ main
AtomicChat/GGUF [L235]publisher comparison buildlayout: more bits on attentionGGUF18.20download0.01010————vs BF16L235 @ main
AtomicChat/GGUF [L234]publisher comparison buildlayout: more bits on ffn_down everywhereGGUF17.80download0.01189————vs BF16L234 @ main
AtomicChat/GGUF [L236]publisher comparison buildlayout: 16 layers lifted, first and lastGGUF17.80download0.00981————vs BF16L236 @ main
AtomicChat/GGUF [L233]publisher comparison buildlayout: 4 layers liftedGGUF17.10download0.01449————vs BF16L233 @ main
AtomicChat/GGUF layout experiment [L232]publisher comparison buildlayout: every layer treated the sameGGUF16.80download0.01580————vs BF16L232 @ main
Avesed/INT4-W4A16 GSM8K 96.8% (242/250) same protocol [L46-47]publisher comparison buildINT8-W8A8INT4—————GSM8K 96.8 %other or no referenceL46 @ main
Avesed/INT8-W8A8 GSM8K 96.4% (241/250) identical protocol [L35]publisher comparison buildINT4-W4A16INT8—————GSM8K 96.4 %other or no referenceL35 @ main
avlp12/Alis-MLX-4bit [L342]publisher comparison buildbf16 referenceMLX51.80download————ppl:en 5.7734; ppl:ko 6.0954; ppl:code 1.6813vs BF16L33 @ main
avlp12/Alis-MLX-4bit PPL on pre-graded era weights per dagger [L343]publisher comparison build8-bitMLX27.90download————ppl:en 5.7760; ppl:ko 6.0987; ppl:code 1.6815vs BF16L34 @ main
avlp12/Alis-MLX-4bit [L370]publisher comparison build4-bit AWQ, pre-graded (pre-graded branch)MLX15.17download0.064991.3%———vs BF16L370 @ main
avlp12/Alis-MLX-6bit bf16 row carried over from earlier batch [L33]publisher comparison buildbf16 referenceMLX51.80download————ppl:en 5.7734; ppl:ko 6.0954; ppl:code 1.6813vs BF16L28 @ main
avlp12/Alis-MLX-6bit PPL measured on pre-graded weights [L308]exact KL 0.00105 in prose [L316]publisher comparison build8-bitMLX27.90download0.00105———ppl:en 5.7760; ppl:ko 6.0987; ppl:code 1.6815vs BF16L29 @ main
avlp12/Alis-MLX-6bit PPL measured on pre-graded weights [L308]exact KL 0.0592 in prose [L316]duplicate table at L291-296 is misparsed; L28-31 table usedpublisher comparison build4-bit AWQMLX15.40download0.0592———ppl:en 5.8450; ppl:ko 6.2609; ppl:code 1.8105vs BF16L31 @ main
avlp12/Alis-MLX-8bit reference row [L294]publisher comparison buildbf16 referenceMLX51.80download————ppl:en 5.7734; ppl:ko 6.0954; ppl:code 1.6813vs BF16L28 @ main
avlp12/Alis-MLX-8bit PPL on pre-graded weights [L303]publisher comparison build6-bitMLX21.90download————ppl:en 5.7924; ppl:ko 6.1018; ppl:code 1.6854vs BF16L30 @ main
avlp12/Alis-MLX-8bit quality-table row for 4-bit is mis-rendered; values taken from at-a-glance table [L31]publisher comparison build4-bit AWQMLX15.40download————ppl:en 5.8450; ppl:ko 6.2609; ppl:code 1.8105; ppl_delta_pct:en +1.2; ppl_delta_pct:ko +2.7; ppl_delta_pct:code +7.7vs BF16L31 @ main
AxionML/NVFP4 (scores reported by RadixArk, not named repo of their own) quoted by AxionML, not measuredScores reported by RadixArk on 4x B300/GB300, SGLang TP4, temperature 1.0 [L47]GSM8K thinking mode, text-only; Terminal-Bench is an 84-task subset pass@1 [L44-45]No BF16 comparison scores on cardNVFP4 (mixed NVFP4/FP8)NVFP4—————GSM8K 97.27; Terminal-Bench 2.1 73.81reference not statedL44 @ main
baa-ai/RAM-13GB-GGUF [L84]publisher comparison buildv1 (llama.cpp IQ3_M)GGUF12.58download————ppl:wikitext2 6.34reference not statedL84 @ main
baa-ai/RAM-24GB-MLX unquantized baseline measured by the card author [L47,L69]publisher comparison buildQwen3.8-27B BF16 (full precision)MLX55.60download————canary_invented_x 0.000; canary_recall 0.999; canary_branch 0.986vs BF16L47 @ main
baa-ai/RAM-24GB-MLX quoted by baa-ai, not measuredMMLU 90.0% matching BF16, quoted from the MLX sibling card, different artifact [L54]Qwen3.8-27B-RAM-24GB-MLX (sibling)GGUF—————MMLU 90.0%vs BF16L54 @ main
bartowski/GGUF previous release, standard layout [L196-200]publisher comparison buildQ6_K_L (previous release)GGUF24.08download0.0027 ± 0.000197.64 ± 0.10 %———vs BF16L200 @ main
bartowski/GGUF previous release [L201]publisher comparison buildQ6_K (previous release)GGUF23.46download0.0031 ± 0.000197.49 ± 0.10 %———vs BF16L201 @ main
bartowski/GGUF previous release only, no current counterpart [L203]publisher comparison buildQ5_K_L (previous release)GGUF21.54download0.0050 ± 0.000296.92 ± 0.11 %———vs BF16L203 @ main
bartowski/GGUF previous release [L204]publisher comparison buildQ5_K_M (previous release)GGUF20.75download0.0054 ± 0.000196.71 ± 0.11 %———vs BF16L204 @ main
bartowski/GGUF previous release [L205]publisher comparison buildQ5_K_S (previous release)GGUF19.68download0.0065 ± 0.000196.25 ± 0.12 %———vs BF16L205 @ main
bartowski/GGUF previous release [L206]publisher comparison buildQ4_K_L (previous release)GGUF18.72download0.0124 ± 0.000395.00 ± 0.14 %———vs BF16L206 @ main
bartowski/GGUF previous release [L207]publisher comparison buildQ4_K_M (previous release)GGUF17.77download0.0129 ± 0.000295.02 ± 0.14 %———vs BF16L207 @ main
bartowski/GGUF previous release [L210]publisher comparison buildQ4_K_S (previous release)GGUF16.71download0.0165 ± 0.000394.18 ± 0.15 %———vs BF16L210 @ main
bartowski/GGUF previous release only [L209]publisher comparison buildQ3_K_XL (previous release)GGUF16.39download0.0426 ± 0.000791.01 ± 0.18 %———vs BF16L209 @ main
bartowski/GGUF previous release [L208]publisher comparison buildIQ4_NL (previous release)GGUF16.33download0.0178 ± 0.000394.22 ± 0.15 %———vs BF16L208 @ main
bartowski/GGUF previous release [L211]publisher comparison buildIQ4_XS (previous release)GGUF15.57download0.0196 ± 0.000594.03 ± 0.15 %———vs BF16L211 @ main
bartowski/GGUF previous release [L213]publisher comparison buildQ3_K_L (previous release)GGUF15.28download0.0437 ± 0.000790.82 ± 0.18 %———vs BF16L213 @ main
bartowski/GGUF previous release [L214]publisher comparison buildQ3_K_M (previous release)GGUF14.61download0.0466 ± 0.000890.57 ± 0.18 %———vs BF16L214 @ main
bartowski/GGUF previous release [L212]publisher comparison buildIQ3_M (previous release)GGUF13.90download0.0566 ± 0.000889.66 ± 0.19 %———vs BF16L212 @ main
bartowski/GGUF previous release [L217]publisher comparison buildQ3_K_S (previous release)GGUF13.72download0.0686 ± 0.001088.17 ± 0.20 %———vs BF16L217 @ main
bartowski/GGUF previous release [L216]publisher comparison buildIQ3_XS (previous release)GGUF13.33download0.0624 ± 0.000989.18 ± 0.20 %———vs BF16L216 @ main
bartowski/GGUF previous release only [L215]publisher comparison buildQ2_K_L (previous release)GGUF13.08download0.1322 ± 0.001884.37 ± 0.23 %———vs BF16L215 @ main
bartowski/GGUF previous release [L218]publisher comparison buildIQ3_XXS (previous release)GGUF12.63download0.0850 ± 0.001287.34 ± 0.21 %———vs BF16L218 @ main
bartowski/GGUF previous release [L219]publisher comparison buildQ2_K (previous release)GGUF11.84download0.1357 ± 0.001983.98 ± 0.23 %———vs BF16L219 @ main
bartowski/GGUF previous release [L220]publisher comparison buildIQ2_M (previous release)GGUF10.87download0.1551 ± 0.002183.06 ± 0.23 %———vs BF16L220 @ main
bartowski/GGUF previous release [L221]publisher comparison buildIQ2_S (previous release)GGUF10.30download0.2166 ± 0.002679.78 ± 0.25 %———vs BF16L221 @ main
bartowski/GGUF previous release [L222]publisher comparison buildIQ2_XS (previous release)GGUF10download0.2293 ± 0.002879.53 ± 0.25 %———vs BF16L222 @ main
bartowski/GGUF previous release [L223]publisher comparison buildIQ2_XXS (previous release)GGUF9.4download0.3037 ± 0.003476.29 ± 0.27 %———vs BF16L223 @ main
bg-digitalservices/ROCmFP4-STRIX-GGUF [L47]publisher comparison buildstock STRIX, no head fixGGUF15.01download————kld:EN 0.046211; kld:DE 0.042837; top1:EN 88.91%other or no referenceL47 @ main
bg-digitalservices/ROCmFP4-STRIX-GGUF [L48]publisher comparison buildstock STRIX, no imatrixGGUF15.01download————kld:EN 0.052341; kld:DE 0.048451; top1:EN 88.58%other or no referenceL48 @ main
btbtyler09/GPTQ-4bit reference row [L87]publisher comparison buildBF16 (original)GPTQ56.00download——6.4457——vs BF16L76 @ main
btbtyler09/GPTQ-8bit Publisher's sibling btbtyler09/Qwen3.8-27B-GPTQ-4bit [L21, L83]publisher comparison buildGPTQ 4-bit FOEMGPTQ21.00download———+0.81%ppl:wikitext-2 6.4982vs BF16L71 @ main
Bucoid/Heretic-Ara-16GB-VRAM-IQ4-XS-MTP-GGUF reference row; KLD/top-1 are self-comparison [L42]publisher comparison buildHeretic-Ara BF16 (base)GGUF53.79download——7.008212 ± 0.045362——vs BF16L31 @ main
cafonez/ROCmI4-MTP-GGUF reference for ROCmI4 comparison [L207]publisher comparison buildlocal Q4_K_M referenceGGUF———5.9455——other or no referenceL207 @ main
Chungulus/MLX-3bit-Group32 [L125]publisher comparison buildBF16 referenceMLX———perplexity": 9.84727010437735,——vs BF16L125 @ main
Chungulus/MLX-5bit-Group32 reference_perplexity [L125]publisher comparison buildBF16 referenceMLX———perplexity": 9.84727010437735,——vs BF16L125 @ main
Chungulus/MLX-8bit-Group32 reference perplexity [L125]publisher comparison buildBF16 referenceMLX———perplexity": 9.84727010437735,——vs BF16L125 @ main
cloudnathan5/NVFP4a4-GPTQ unquantized reference [L97]publisher comparison buildQwen/Qwen3.8-27B (BF16)NVFP4———6.5574——vs BF16L97 @ main
curvedinf/GPTQ-INT8-W8A8-GS128-PTQR KLD 0.0110, greedy agreement 38/52 [L61]publisher comparison buildoriginal GPTQ checkpointGPTQ—0.0110————vs BF16L61 @ main
cyankiwi/AWQ-INT4 measured by malaiwahvLLM, shard-0 [L462]cyankiwi/Qwen3.8-27B-AWQ-INT4AWQ21.01download0.02281893.94 %———vs BF16L462 @ main
cyankiwi/AWQ-INT4 measured by malaiwahshard-0 [L471]cyankiwi/Qwen3.8-27B-AWQ-INT4AWQ21.01download0.02281893.94 %———vs BF16L471 @ main
cyankiwi/AWQ-INT4 measured by malaiwah[L502]cyankiwi/Qwen3.8-27B-AWQ-INT4 shard0AWQ21.01download0.02281893.94 %———other or no referenceL502 @ main
cyankiwi/AWQ-INT4 measured by TelperionAIcyankiwi/Qwen3.8-27B-AWQ-INT4AWQ21.00download—94.35%———vs BF16L56 @ main
cyankiwi/AWQ-INT4 measured by TelperionAI[L61]cyankiwi/Qwen3.8-27B-AWQ-INT4AWQ21.00download—94.35%——near-tie disagree 33.74%; moderate disagree 5.59%; confident disagree 1.35%; certain disagree 0.12%; divmed 29vs BF16L61 @ main
CySpiegel/Int4-AutoRound baseline served on same vLLM build [L39]publisher comparison buildFP8 (online per-tensor W8A16)AutoRound—————GSM8K 5-shot 38.4other or no referenceL44 @ main
dbirks/W4A16-AutoRound Publisher's BF16 baseline [L81-85]publisher comparison buildBF16 baseAutoRound—————GSM8K 0.911 ±0.015; HumanEval 0.939 ±0.037; MMLU-Pro 0.819 ±0.020vs BF16L83 @ main
dbirks/W4A16-AutoRound quoted by fasolack, not measuredColumn header says BF16 but prose attributes 0.917 / 0.826 to the reference W4A16 build vs 0.911 / 0.819 BF16, so the column is ambiguous [L37-39,L276-279]Reference decoding settings never disclosed [L257-258]Reference (dbirks)INT4—————GSM8K 91.7%; MMLU-Pro 82.6%; HumanEval 0.957other or no referenceL276 @ main
ddalcu/MLX-Serve-6bit Sibling build by same publisher [L45]; standard error 0.4-0.9 points [L50]publisher comparison build8-bitMLX31.20download0.05896.4%———vs BF16L45 @ main
ddalcu/MLX-Serve-6bit Sibling build by same publisher [L47]publisher comparison build4-bitMLX18.20download0.49683.6%———vs BF16L47 @ main
ddalcu/MLX-Serve-6bit Sibling imatrix mixed-width build [L48]publisher comparison buildiQ-MLX 3.8bpwMLX13.00download0.61179.6%———vs BF16L48 @ main
ddalcu/MLX-Serve-iQ-MLX-3.8bpw publisher's own 8-bit build [L45]publisher comparison build8-bitMLX30.70resident0.01495.5%———vs BF16L45 @ main
ddalcu/MLX-Serve-iQ-MLX-3.8bpw publisher's own 6-bit build [L46]publisher comparison build6-bitMLX22.70resident0.05695.5%———vs BF16L46 @ main
ddalcu/MLX-Serve-iQ-MLX-3.8bpw publisher's own 4-bit build [L47]publisher comparison build4-bitMLX17.70resident0.32283.6%———vs BF16L47 @ main
dealignai/JANG_2D-CRACK CRACK MMLU cell not a numeric candidate, delta +0.0pp [L121]publisher comparison buildMXFP8 CRACKother27.00download————MMLU_base 86.67%other or no referenceL121 @ main
dealignai/JANG_2D-CRACK [L120]publisher comparison buildJANG_6D CRACKother24.00download————MMLU_base 88.77%other or no referenceL120 @ main
dealignai/JANG_2D-CRACK [L119]publisher comparison buildJANG_4D CRACKother17.00download————MMLU_base 88.77%other or no referenceL119 @ main
dealignai/JANG_4D-CRACK [L120]publisher comparison build6Dother24.00download————MMLU 89.12%other or no referenceL120 @ main
dealignai/JANG_4D-CRACK MMLU base 80.0% [L118]publisher comparison build2Dother11.00download————MMLU 76.84%other or no referenceL118 @ main
dealignai/JANG_4D-CRACK [L119]publisher comparison buildBase (unmodified, MMLU on 4D harness row)other—————MMLU 88.77%other or no referenceL119 @ main
dealignai/JANG_6D-CRACK MMLU CRACK cell absent in table; delta +0.0pp [L121]publisher comparison buildMXFP8other27.00download————MMLU_base 86.67%other or no referenceL121 @ main
dealignai/JANG_6D-CRACK publisher comparison build4Dother17.00download————MMLU 87.72%; MMLU_base 88.77%other or no referenceL119 @ main
dealignai/JANG_6D-CRACK publisher comparison build2Dother11.00download————MMLU 76.84%; MMLU_base 80.0%other or no referenceL118 @ main
dealignai/MXFP8-CRACK [L118]publisher comparison build6DMXFP824.00download————MMLU 89.12%; HarmBench-240 100.0%other or no referenceL118 @ main
dealignai/MXFP8-CRACK [L117]publisher comparison build4DMXFP817.00download————MMLU 87.72%; HarmBench-240 100.0%other or no referenceL117 @ main
dealignai/MXFP8-CRACK other repo variant [L116]publisher comparison build2DMXFP811.00download————MMLU 76.84%; HarmBench-240 100.0%other or no referenceL116 @ main
Derpyhue/abliterated-2.55bpw-SC-SH median c19, p90 c20; perplexity column left out [L48]publisher comparison build2.65 H4 -shother8.8text weights (excl. vision, MTP)0.0377————vs BF16L48 @ main
Derpyhue/abliterated-2.55bpw-SC-SH median c14, p90 c15; perplexity column left out [L47]publisher comparison build2.60 H4 -shother8.6text weights (excl. vision, MTP)0.0417————vs BF16L47 @ main
Derpyhue/abliterated-2.60bpw-SC-SH unquantized reference row [L45]publisher comparison buildAbliterated BF16 (reference)other51.22text weights (excl. vision, MTP)——1.3418——vs BF16L45 @ main
Derpyhue/abliterated-2.60bpw-SC-SH PPL cell reads 1.3986 (+4.2%) [L48]bitrate 2.65 is from row label onlypublisher comparison build2.65 H4 -shother8.8text weights (excl. vision, MTP)0.0377—1.3986 (+4.2%)——vs BF16L48 @ main
Derpyhue/abliterated-2.60bpw-SC-SH PPL cell reads 1.4098 (+5.1%) [L46]bitrate 2.55 is from row label onlypublisher comparison build2.55 H4 -shother8.4text weights (excl. vision, MTP)0.0442—1.4098 (+5.1%)——vs BF16L46 @ main
Derpyhue/abliterated-2.65bpw-SC-SH Perplexity (increase) ambiguous, not mapped [L47]publisher comparison build2.60 H4 -shother8.6text weights (excl. vision, MTP)0.0417————vs BF16L47 @ main
Derpyhue/abliterated-2.65bpw-SC-SH Perplexity (increase) ambiguous, not mapped [L46]publisher comparison build2.55 H4 -shother8.4text weights (excl. vision, MTP)0.0442————vs BF16L46 @ main
Derpyhue/exl3-2.65bpw-SC publisher comparison build2.80 H4EXL312.57download0.025571—1.3690——vs BF16L48 @ main
Derpyhue/exl3-2.65bpw-SC publisher comparison build2.80 H4 -shEXL312.57download0.025098—1.3688——vs BF16L49 @ main
Derpyhue/exl3-2.65bpw-SC publisher comparison build2.75 H4EXL312.41download0.027894—1.3725——vs BF16L46 @ main
Derpyhue/exl3-2.65bpw-SC publisher comparison build2.75 H4 -shEXL312.41download0.026945—1.3685——vs BF16L47 @ main
Derpyhue/exl3-2.65bpw-SC publisher comparison build2.70 H4EXL312.26download0.030083—1.3746——vs BF16L44 @ main
Derpyhue/exl3-2.65bpw-SC publisher comparison build2.70 H4 -shEXL312.26download0.030040—1.3748——vs BF16L45 @ main
Derpyhue/exl3-2.65bpw-SC publisher comparison build2.67 H4 -shEXL312.17download0.031061—1.3748——vs BF16L43 @ main
Derpyhue/exl3-2.65bpw-SC separate repo variant [L16]publisher comparison build2.65 H4 -shEXL312.11download0.032541—1.3739——vs BF16L42 @ main
Derpyhue/exl3-2.65bpw-SC-SH publisher comparison build2.80 H4EXL312.57download0.025571—1.3690——vs BF16L49 @ main
Derpyhue/exl3-2.65bpw-SC-SH publisher comparison build2.80 H4 -shEXL312.57download0.025098—1.3688——vs BF16L50 @ main
Derpyhue/exl3-2.65bpw-SC-SH publisher comparison build2.75 H4EXL312.41download0.027894—1.3725——vs BF16L47 @ main
Derpyhue/exl3-2.65bpw-SC-SH publisher comparison build2.75 H4 -shEXL312.41download0.026945—1.3685——vs BF16L48 @ main
Derpyhue/exl3-2.65bpw-SC-SH publisher comparison build2.70 H4EXL312.26download0.030083—1.3746——vs BF16L45 @ main
Derpyhue/exl3-2.65bpw-SC-SH publisher comparison build2.70 H4 -shEXL312.26download0.030040—1.3748——vs BF16L46 @ main
Derpyhue/exl3-2.65bpw-SC-SH publisher comparison build2.67 H4 -shEXL312.17download0.031061—1.3748——vs BF16L44 @ main
Derpyhue/exl3-2.65bpw-SC-SH publisher comparison build2.65 H4EXL312.11download0.032903—1.3795——vs BF16L42 @ main
Derpyhue/exl3-2.67bpw-SC-SH [L49]publisher comparison build2.80 H4EXL312.57download0.025571—1.3690——vs BF16L49 @ main
Derpyhue/exl3-2.67bpw-SC-SH [L50]publisher comparison build2.80 H4 -shEXL312.57download0.025098—1.3688——vs BF16L50 @ main
Derpyhue/exl3-2.67bpw-SC-SH [L47]publisher comparison build2.75 H4EXL312.41download0.027894—1.3725——vs BF16L47 @ main
Derpyhue/exl3-2.67bpw-SC-SH [L48]publisher comparison build2.75 H4 -shEXL312.41download0.026945—1.3685——vs BF16L48 @ main
Derpyhue/exl3-2.67bpw-SC-SH [L45]publisher comparison build2.70 H4EXL312.26download0.030083—1.3746——vs BF16L45 @ main
Derpyhue/exl3-2.67bpw-SC-SH [L46]publisher comparison build2.70 H4 -shEXL312.26download0.030040—1.3748——vs BF16L46 @ main
Derpyhue/exl3-2.67bpw-SC-SH [L42]publisher comparison build2.65 H4EXL312.11download0.032903—1.3795——vs BF16L42 @ main
Derpyhue/exl3-2.67bpw-SC-SH [L43]publisher comparison build2.65 H4 -shEXL312.11download0.032541—1.3739——vs BF16L43 @ main
Derpyhue/exl3-2.70bpw-SC [L48]publisher comparison build2.80 H4EXL312.57download0.025571—1.3690——vs BF16L48 @ main
Derpyhue/exl3-2.70bpw-SC [L49]publisher comparison build2.80 H4 -shEXL312.57download0.025098—1.3688——vs BF16L49 @ main
Derpyhue/exl3-2.70bpw-SC [L46]publisher comparison build2.75 H4EXL312.41download0.027894—1.3725——vs BF16L46 @ main
Derpyhue/exl3-2.70bpw-SC [L47]publisher comparison build2.75 H4 -shEXL312.41download0.026945—1.3685——vs BF16L47 @ main
Derpyhue/exl3-2.70bpw-SC [L45]publisher comparison build2.70 H4 -shEXL312.26download0.030040—1.3748——vs BF16L45 @ main
Derpyhue/exl3-2.70bpw-SC [L43]publisher comparison build2.67 H4 -shEXL312.17download0.031061—1.3748——vs BF16L43 @ main
Derpyhue/exl3-2.70bpw-SC [L41]publisher comparison build2.65 H4EXL312.11download0.032903—1.3795——vs BF16L41 @ main
Derpyhue/exl3-2.70bpw-SC [L42]publisher comparison build2.65 H4 -shEXL312.11download0.032541—1.3739——vs BF16L42 @ main
Derpyhue/exl3-2.70bpw-SC-SH [L49]publisher comparison build2.80 H4EXL312.57download0.025571—1.3690——vs BF16L49 @ main
Derpyhue/exl3-2.70bpw-SC-SH [L50]publisher comparison build2.80 H4 -shEXL312.57download0.025098—1.3688——vs BF16L50 @ main
Derpyhue/exl3-2.70bpw-SC-SH [L47]publisher comparison build2.75 H4EXL312.41download0.027894—1.3725——vs BF16L47 @ main
Derpyhue/exl3-2.70bpw-SC-SH [L48]publisher comparison build2.75 H4 -shEXL312.41download0.026945—1.3685——vs BF16L48 @ main
Derpyhue/exl3-2.70bpw-SC-SH [L45]publisher comparison build2.70 H4EXL312.26download0.030083—1.3746——vs BF16L45 @ main
Derpyhue/exl3-2.70bpw-SC-SH [L44]publisher comparison build2.67 H4 -shEXL312.17download0.031061—1.3748——vs BF16L44 @ main
Derpyhue/exl3-2.70bpw-SC-SH [L42]publisher comparison build2.65 H4EXL312.11download0.032903—1.3795——vs BF16L42 @ main
Derpyhue/exl3-2.70bpw-SC-SH [L43]publisher comparison build2.65 H4 -shEXL312.11download0.032541—1.3739——vs BF16L43 @ main
Derpyhue/exl3-2.75bpw-SC bpw 2.80 only in row label [L48]publisher comparison build2.80 H4EXL312.57download0.025571—1.3690——vs BF16L48 @ main
Derpyhue/exl3-2.75bpw-SC bpw 2.80 only in row label [L49]publisher comparison build2.80 H4 -shEXL312.57download0.025098—1.3688——vs BF16L49 @ main
Derpyhue/exl3-2.75bpw-SC separate repo, scaled-Hessian variant [L16,L47]publisher comparison build2.75 H4 -shEXL312.41download0.026945—1.3685——vs BF16L47 @ main
Derpyhue/exl3-2.75bpw-SC bpw 2.70 only in row label [L44]publisher comparison build2.70 H4EXL312.26download0.030083—1.3746——vs BF16L44 @ main
Derpyhue/exl3-2.75bpw-SC bpw 2.70 only in row label [L45]publisher comparison build2.70 H4 -shEXL312.26download0.030040—1.3748——vs BF16L45 @ main
Derpyhue/exl3-2.75bpw-SC bpw 2.67 only in row label [L43]publisher comparison build2.67 H4 -shEXL312.17download0.031061—1.3748——vs BF16L43 @ main
Derpyhue/exl3-2.75bpw-SC bpw 2.65 only in row label [L41]publisher comparison build2.65 H4EXL312.11download0.032903—1.3795——vs BF16L41 @ main
Derpyhue/exl3-2.75bpw-SC bpw 2.65 only in row label [L42]publisher comparison build2.65 H4 -shEXL312.11download0.032541—1.3739——vs BF16L42 @ main
Derpyhue/exl3-2.75bpw-SC-SH publisher comparison build2.80 H4EXL312.57download0.025571—1.3690——vs BF16L49 @ main
Derpyhue/exl3-2.75bpw-SC-SH publisher comparison build2.80 H4 -shEXL312.57download0.025098—1.3688——vs BF16L50 @ main
Derpyhue/exl3-2.75bpw-SC-SH publisher comparison build2.75 H4EXL312.41download0.027894—1.3725——vs BF16L47 @ main
Derpyhue/exl3-2.75bpw-SC-SH publisher comparison build2.70 H4EXL312.26download0.030083—1.3746——vs BF16L45 @ main
Derpyhue/exl3-2.75bpw-SC-SH publisher comparison build2.70 H4 -shEXL312.26download0.030040—1.3748——vs BF16L46 @ main
Derpyhue/exl3-2.75bpw-SC-SH publisher comparison build2.67 H4 -shEXL312.17download0.031061—1.3748——vs BF16L44 @ main
Derpyhue/exl3-2.75bpw-SC-SH Median/p90 KLD columns not mapped (no key) [L42]; perplexity ~1.37 is unusually low, corpus not statedpublisher comparison build2.65 H4EXL312.11download0.032903—1.3795——vs BF16L42 @ main
Derpyhue/exl3-2.75bpw-SC-SH Size is full repo footprint [L38]publisher comparison build2.65 H4 -shEXL312.11download0.032541—1.3739——vs BF16L43 @ main
Derpyhue/exl3-2.80bpw-SC separate SH repopublisher comparison build2.80 H4 -shEXL312.57download0.025098—1.3688—kld_median 0.001232; kld_p90 0.073292vs BF16L49 @ main
Derpyhue/exl3-2.80bpw-SC publisher comparison build2.75 H4EXL312.41download0.027894—1.3725—kld_median 0.001434; kld_p90 0.081578vs BF16L46 @ main
Derpyhue/exl3-2.80bpw-SC publisher comparison build2.75 H4 -shEXL312.41download0.026945—1.3685—kld_median 0.001279; kld_p90 0.077931vs BF16L47 @ main
Derpyhue/exl3-2.80bpw-SC publisher comparison build2.70 H4EXL312.26download0.030083—1.3746—kld_median 0.001484; kld_p90 0.087552vs BF16L44 @ main
Derpyhue/exl3-2.80bpw-SC publisher comparison build2.70 H4 -shEXL312.26download0.030040—1.3748—kld_median 0.001454; kld_p90 0.086279vs BF16L45 @ main
Derpyhue/exl3-2.80bpw-SC publisher comparison build2.67 H4 -shEXL312.17download0.031061—1.3748—kld_median 0.001562; kld_p90 0.089724vs BF16L43 @ main
Derpyhue/exl3-2.80bpw-SC publisher comparison build2.65 H4EXL312.11download0.032903—1.3795—kld_median 0.001696; kld_p90 0.095268vs BF16L41 @ main
Derpyhue/exl3-2.80bpw-SC publisher comparison build2.65 H4 -shEXL312.11download0.032541—1.3739—kld_median 0.001560; kld_p90 0.092880vs BF16L42 @ main
Derpyhue/exl3-2.80bpw-SC-SH non -sh sibling; SC build without scaled Hessian [L16,L49]publisher comparison build2.80 H4EXL312.57download0.025571—1.3690——vs BF16L24 @ main
Derpyhue/exl3-2.80bpw-SC-SH [L47]publisher comparison build2.75 H4EXL312.41download0.027894—1.3725——vs BF16L47 @ main
Derpyhue/exl3-2.80bpw-SC-SH [L48]publisher comparison build2.75 H4 -shEXL312.41download0.026945—1.3685——vs BF16L48 @ main
Derpyhue/exl3-2.80bpw-SC-SH [L45]publisher comparison build2.70 H4EXL312.26download0.030083—1.3746——vs BF16L45 @ main
Derpyhue/exl3-2.80bpw-SC-SH [L46]publisher comparison build2.70 H4 -shEXL312.26download0.030040—1.3748——vs BF16L46 @ main
Derpyhue/exl3-2.80bpw-SC-SH [L44]publisher comparison build2.67 H4 -shEXL312.17download0.031061—1.3748——vs BF16L44 @ main
Derpyhue/exl3-2.80bpw-SC-SH 2.65 bpw from row label [L42]publisher comparison build2.65 H4EXL312.11download0.032903—1.3795——vs BF16L42 @ main
Derpyhue/exl3-2.80bpw-SC-SH [L43]publisher comparison build2.65 H4 -shEXL312.11download0.032541—1.3739——vs BF16L43 @ main
eaddario/GGUF baseline [L110]publisher comparison buildQwen3.8-27B-F16GGUF51.00download——6.669665 ±0.042605——other or no referenceL110 @ main
EliovpAI/W3Rot-INT3-Paiton-RDNA4 GSM8K/HumanEval/MMLU-Pro 0-shot from 26 Sep table [L159-161], greedy thinking offpublisher comparison buildPrevious weights (7a2e3d70, W3A4)other—————kld:decode 0.0851; kld:prefill 0.1074; top1:decode 88.66; top1:prefill 87.36; kld:long_decode 0.0806; kld:long_prefill 0.0975; kld:r9700_served 0.1732; top1:r9700_served 86.90 %; GSM8K 95.30 %; HumanEval 93.90 %vs BF16L124 @ main
EliovpAI/W3Rot-INT3-Paiton-RDNA4 [L159-162]; Needle 100% for MXFP4; model memory 19.18 GiB vs 15.89 GiB in prose [L195-196]publisher comparison buildMXFP4 image (previous publisher build)other—————GSM8K 95.68 %; HumanEval 95.12 %; Needle_61440 100 %vs BF16L159 @ main
empero-ai/Ridge measured by tooltdrepo name from update note [L106-107]Ridge-3.7bpw (empero-ai)11.73download0.11843085.907%7.547496—HumanEval 0.933; HumanEval+ 0.896; MBPP 0.902; MBPP+ 0.765vs BF16L42 @ main
FedericoSciuca/depthaware-GGUF reference row [L35]publisher comparison buildreference (Q8_0)GGUF29.05download——5.5950——vs a Q8_0L35 @ main
FedericoSciuca/depthaware-GGUF byte-identical size to this model [L37]excess +0.8186 c9 absolutepublisher comparison buildcontrol 13 blocks spread evenlyGGUF12.48download——6.4136——vs a Q8_0L37 @ main
Freaksterz/SmoothQuant-W8A8-INT8 floor-free KLD c15, PPL delta-ln c17 [L31]; breaks DFlash2 [L16]publisher comparison buildv2-rotated W8A8INT8—0.0109895.9%———vs BF16L31 @ main
Freaksterz/SmoothQuant-W8A8-INT8 same table [L32]publisher comparison buildv1-smoothquant-rtn W8A8INT8—0.0141495.3%———vs BF16L32 @ main
Frosty40/GGUF size shown is the -MTP file [L30]tail is 99.9th percentile [L47]publisher comparison buildQ6_K-OQ8(-MTP)GGUF21.30download0.00170 kld:prose———top1:prose 97.79; kld:code 0.00117; top1:code 99.46; kld:agentic 0.00137; top1:agentic 99.36vs BF16L30 @ main
GestaltLabs/EXL3-11.5GB publisher comparison buildPrior Release (Pilot Calibration)EXL3—————kld:development 0.18597; kld:acceptance 0.26780; kld:combined 0.22689other or no referenceL129 @ main
GestaltLabs/EXL3-11.5GB publisher comparison buildPilot 8K Candidate (64 rows)EXL3—————kld:development 0.23696; kld:acceptance 0.33439; kld:combined 0.28568other or no referenceL130 @ main
ggml-org (repo name truncated in card digest) measured by fraQtllarger build, no NextN block [L41]ggml-org second18.97download————kld:code/math 0.19074; kld:general 0.24274; GSM8K 94.0% (188/200); MATH-500 87.4% (437/500)vs a Q8_0L36 @ main
ggml-org (repo not named on card) measured by AtomicChat[L216]Q4_K_M (ggml-org)19.00download0.01470————vs BF16L216 @ main
gittensor-model-hub/NVFP4-RTX5090 measured by malaiwahresident 18.77 GiB measured [L486]; shard-0 [L464]gittensor-model-hub/Qwen3.8-27B-NVFP4-RTX5090NVFP4—0.06216389.85 %———vs BF16L464 @ main
gittensor-model-hub/NVFP4-RTX5090 measured by malaiwahshard-0 of v5 suite [L473]measured resident 18.77 GiB appears only in prose [L487]gittensor-model-hub/Qwen3.8-27B-NVFP4-RTX5090NVFP4—0.06216389.85 %———vs BF16L473 @ main
gittensor-model-hub/NVFP4-RTX5090 measured by malaiwah[L504]; resident 18.77 GiB in prose [L522]gittensor-model-hub/Qwen3.8-27B-NVFP4-RTX5090 shard0NVFP4—0.06216389.85 %———other or no referenceL504 @ main
glyd/kestrel reference model; GSM8K bf16 column served by vLLM [L52]publisher comparison buildbf16 (original)other53.80download0———GSM8K 96.7%vs BF16L26 @ main
glyd/kestrel publisher comparison buildpenguinother37.00download0————vs BF16L28 @ main
glyd/kestrel publisher comparison buildswiftother18.60download0.0139————vs BF16L30 @ main
glyd/penguin publisher comparison buildbf16 (original)other53.80download0————vs BF16L31 @ main
glyd/penguin Glyd's other build [L34]publisher comparison buildkestrelother22.00download0.00477————vs BF16L34 @ main
glyd/penguin Glyd's other build [L35]publisher comparison buildswiftother18.60download0.0139————vs BF16L35 @ main
glyd/swift reference row [L26]; GSM8K from vLLM-served bf16 [L52]publisher comparison buildbf16 (original)other53.80download0————vs BF16L26 @ main
glyd/swift KL listed as 0 [L28]publisher comparison buildpenguinother37.00download0————vs BF16L28 @ main
glyd/swift [L29]publisher comparison buildkestrelother22.00download0.00477————vs BF16L29 @ main
gratex/W4A16-g128-sym-GPTQ unquantized reference [L109]publisher comparison buildBF16 baseGPTQ54.00download——9.6402——vs BF16L109 @ main
guideboardlabs/Q3-DOWN-XS-GGUF overflows 8 GB [L50]publisher comparison buildQ3-DOWN-UP-XS (ceiling)GGUF—————ppl:wikitext-2 8.1278other or no referenceL45 @ main
guideboardlabs/Q3-DOWN-XS-GGUF [L47]publisher comparison buildQ3-UP-XSGGUF—————ppl:wikitext-2 8.3272other or no referenceL47 @ main
guideboardlabs/Q3-DOWN-XS-GGUF [L48]publisher comparison buildQ3-GATE-PROTECT (old prod)GGUF—————ppl:wikitext-2 8.3561other or no referenceL48 @ main
HangGlidersRule/Darkstar-Base-ModelOpt-W4A16-NVFP4-Mixed-FP8 157/198 BF16 control vs 153/198 quant, a 4-question delta [L44]publisher comparison buildupstream BF16 controlNVFP4—————GPQA-Diamond_correct_of_198 157vs BF16L44 @ main
HermiHg/mmproj-Q5_K-MIX-GGUF reference projector [L44-57]publisher comparison buildBF16 referenceGGUF—————TextVQA 0.8204; OCRBench-v2 0.6623; GQA 0.6280; ScienceQA 0.9450; MMStar 0.7140; ChartQA 0.8520; BLINK jigsaw 0.5200; BLINK relative depth 0.9113; BLINK visual similarity 0.9037; BLINK counting 0.8167; BLINK object localization 0.8033; Overall 0.7493vs BF16L46 @ main
Inferact/NVFP4 measured by QUASAR-QAT304/496 linears NVFP4 [L85]Inferact NVFP4NVFP426.40download————GPQA-Diamond 87.63; AIME'26 96.67vs BF16L85 @ main
inferencerlabs/MLX-Q9 bpw from row label [L34]publisher comparison buildQ3.5MLX——43.45%168.0——vs BF16L34 @ main
inferencerlabs/MLX-Q9 bpw from row label [L35]publisher comparison buildQ4.5MLX——91.65%1.33593——vs BF16L35 @ main
inferencerlabs/MLX-Q9 bpw from row label [L36]publisher comparison buildQ5.5MLX——95.05%1.23437——vs BF16L36 @ main
inferencerlabs/MLX-Q9 bpw from row label [L37]publisher comparison buildQ6.5MLX——96.65%1.21875——vs BF16L37 @ main
inferencerlabs/MLX-Q9 bpw from row label [L38]publisher comparison buildQ8.5MLX——97.65%1.21875——vs BF16L38 @ main
ionos/GPTQ-Int4 measured by card author, paired [L35-36]publisher comparison buildBase (BF16)GPTQ—————OmniDocBench_reading_order 92.6%; OmniDocBench_display_formula 72.7%; MathVista 85.7%; MMMU 81.0%; V*Bench 88.7%; MMLU-Pro 86.3%; MMLU-DE 82.7%; BFCL 57.7%; IFEval 40.1%vs BF16L40 @ main
ISTA-DASLab/GSQ-RCO-GGUF measured by jdominick05repo id taken from related-quants link [L145]; table row spells the org IST-DASLab [L47]IST-DASLab GSQ-RCO IQ3_SGGUF11.77download0.0645 ± 0.002892.99%—+5.2%—vs a Q8_0L47 @ main
IsValorum/VAL-APEX-I-MiniPlus-V3-GGUF Size 54.65 GB (50.90 GiB) [L72]; PPL has large +/- 0.4531publisher comparison buildBF16 Base baseline (unmodified)GGUF54.65download——5.7942 ± 0.4531——vs BF16L72 @ main
IsValorum/VAL-APEX-I-NanoPlus-V3-GGUF reference row [L72]publisher comparison buildBF16 Base baseline (unmodified)GGUF54.65download————ppl:wikitext2 5.7942 ± 0.4531vs BF16L72 @ main
jaakkomoller/q3mix-NInfer pure-Q4 16 GB profile [L88]publisher comparison buildq4other—————LiveCodeBench_v6_175 41/175; quality_gate_35 28/35other or no referenceL180 @ main
JANGQ-AI/JANGH2 Sibling bundle from same publisher, median KL [L66-79]publisher comparison buildJANG_4D by topic (held-out text)other—————kld:coding 0.0002; top1:coding 98.4 %; kld:math 0.0001; top1:math 98.7 %; kld:office_finance 0.0001; top1:office_finance 97.7 %; kld:topic_reasoning 0.0001; top1:topic_reasoning 94.5 %; kld:science 0.0010; top1:science 98.0 %; kld:long_context 0.0007; top1:long_context 96.6 %; kld:cybersecurity 0.0008; top1:cybersecurity 94.9 %; kld:networking 0.0011; top1:networking 93.7 %; kld:terminal_shell 0.0013; top1:terminal_shell 92.5 %; kld:agentic_tool_calls 0.0026; top1:agentic_tool_calls 89.8 %; kld:creative_writing 0.0028; top1:creative_writing 96.5 %; kld:multi_turn_agentic 0.0014; top1:multi_turn_agentic 92.1 %vs BF16L68 @ main
JANGQ-AI/JANGH2 Sibling bundle from same publisher, median KL [L83-91]publisher comparison buildJANG_4D by topic (own bf16 reasoning traces)other—————kld:traces_coding 0.00007; top1:traces_coding 98.4 %; kld:traces_math 0.00001; top1:traces_math 98.6 %; kld:traces_office_finance 0.00000; top1:traces_office_finance 98.5 %; kld:traces_science 0.00010; top1:traces_science 98.1 %; kld:traces_networking 0.00000; top1:traces_networking 98.7 %; kld:traces_cybersecurity 0.00135; top1:traces_cybersecurity 97.3 %; kld:traces_agentic_tool_calls 0.00093; top1:traces_agentic_tool_calls 89.7 %vs BF16L85 @ main
JANGQ-AI/JANG_4D Sibling bundle by same publisher; median KL [L66]; size not stated on cardpublisher comparison buildJANGH2 (by topic, held-out text set)other—————kld:coding 0.0092; top1:coding 89.5 %; kld:math 0.0068; top1:math 90.8 %; kld:office_finance 0.0087; top1:office_finance 86.9 %; kld:reasoning 0.0081; top1:reasoning 81.0 %; kld:science 0.0460; top1:science 87.1 %; kld:long_context_attention_recall 0.0446; top1:long_context_attention_recall 80.4 %; kld:cybersecurity 0.0368; top1:cybersecurity 80.5 %; kld:networking 0.0244; top1:networking 81.9 %; kld:terminal_shell 0.0738; top1:terminal_shell 73.5 %; kld:agentic_tool_calls 0.0975; top1:agentic_tool_calls 71.2 %; kld:creative_writing 0.1989; top1:creative_writing 74.2 %; kld:multi_turn_agentic 0.0615; top1:multi_turn_agentic 75.3 %vs BF16L70 @ main
JANGQ-AI/JANG_4D Sibling bundle by same publisher; median KL [L83-85]publisher comparison buildJANGH2 (own bf16 reasoning traces, by topic)other—————kld:coding 0.00508; top1:coding 89.4 %; kld:math 0.00061; top1:math 91.6 %; kld:office_finance 0.00007; top1:office_finance 91.2 %; kld:science 0.00779; top1:science 87.8 %; kld:networking 0.00009; top1:networking 92.8 %; kld:cybersecurity 0.08516; top1:cybersecurity 81.1 %; kld:agentic_tool_calls 0.03968; top1:agentic_tool_calls 72.6 %vs BF16L87 @ main
jcbtc/CIRU-ActiveFPX-PromptForge previous release, matched measure [L53]publisher comparison buildPublic v2other—0.03616290.637%—1.027876—vs BF16L55 @ main
jclyons52/Unsloth-Dynamic-v3-mlx author's own re-encoding for comparison [L51]publisher comparison buildsame checkpoint, Unsloth Dynamic 2.0 static per-tensor table (5.27 bpw)MLX17.00download————ppl:wikitext-2 13.445reference not statedL51 @ main
jdominick05/24GB-262k-GGUF retired build [L45]publisher comparison buildR1-mix (retired)GGUF16.95download0.0191 ± 0.001594.96%—+0.8%—vs a Q8_0L45 @ main
jdominick05/24GB-262k-GGUF retired build [L44]publisher comparison buildR2-mix (retired)GGUF15.39download0.0199 ± 0.001295.08%—+0.5%—vs a Q8_0L44 @ main
Jon-Nielsen/exl3-4.00bpw Sibling build by same publisher; VRAM peak [L21]publisher comparison buildEXL3 6.00bpwEXL330.00GPU weights————ppl:40K_tech 5.07reference not statedL21 @ main
Jon-Nielsen/exl3-6.00bpw Sibling repo Jon-Nielsen/Qwen3.8-27B-exl3-4.00bpw [L11,L20]publisher comparison build4.00bpwEXL324.00GPU weights————ppl:40K_tech 5.25reference not statedL20 @ main
JRamirez-UAB/EXL3-3.85bpw-24GB publisher's sibling GPTQ repo [L88]publisher comparison buildGPTQ W4A16 g64 + INT8 embeddingsEXL316.91download0.0175—1.6203—kld:public_trace 0.0171; ppl:public_trace 1.3568vs BF16L88 @ main
JRamirez-UAB/EXL3-3.85bpw-24GB publisher's sibling GPTQ repo [L87]publisher comparison buildGPTQ W4A16 + INT4 embeddingsEXL315.26download0.0400—1.6631—kld:public_trace 0.0312; ppl:public_trace 1.3779vs BF16L87 @ main
JRamirez-UAB/GPTQ-W4A16-embed-int4-24GB same publisher, same conditions [L87]publisher comparison buildGPTQ W4A16 g64 + INT8 embeddingsGPTQ16.91download————kld:internal 0.0175; kld:public 0.0171; ppl:internal 1.6203; ppl:public 1.3568vs BF16L92 @ main
JRamirez-UAB/GPTQ-W4A16-embed-int4-24GB publisher's sibling repo JRamirez-UAB/Qwen3.8-27B-EXL3-3.85bpw-24GB [L93]publisher comparison buildEXL3 3.85 bpw (main)GPTQ14.62download————kld:internal 0.0073; kld:public 0.0067; ppl:internal 1.5976; ppl:public 1.3430vs BF16L93 @ main
JRamirez-UAB/GPTQ-W4A16-embed-int4-24GB branch of EXL3-3.85bpw-24GB repo [L94]publisher comparison buildEXL3 3.70 bpw (3.70bpw branch)GPTQ14.16download————kld:internal 0.0089; kld:public 0.0085; ppl:internal 1.5999; ppl:public 1.3466vs BF16L94 @ main
JRamirez-UAB/GPTQ-W4A16-embed-int4-24GB BF16 perplexity given in column header [L89]publisher comparison buildBF16 referenceGPTQ—————ppl:internal BF16 1.5860vs BF16L89 @ main
JRamirez-UAB/GPTQ-W4A16-g64-embed-int8-24GB [L82]publisher comparison buildGPTQ W4A16 + INT4 embeddingsGPTQ15.26download————kld:internal 0.0400; kld:public 0.0312; ppl:internal 1.6631; ppl:public 1.3779vs BF16L82 @ main
JRamirez-UAB/GPTQ-W4A16-g64-embed-int8-24GB [L84]publisher comparison buildEXL3 3.85 bpwGPTQ14.62download————kld:internal 0.0073; kld:public 0.0067; ppl:internal 1.5976; ppl:public 1.3430vs BF16L84 @ main
JRamirez-UAB/GPTQ-W4A16-g64-embed-int8-24GB [L85]publisher comparison buildEXL3 3.70 bpwGPTQ14.16download————kld:internal 0.0089; kld:public 0.0085; ppl:internal 1.5999; ppl:public 1.3466vs BF16L85 @ main
kacaforyah/Opti-27B earlier release of this publisher's file [L97,L103]coding-agent study [L114-115]publisher comparison buildOpti 27B (first release)other—————MMLU-Pro:scorerA 54.6; MMLU-Pro:scorerB 54.2 +/- 0.5other or no referenceL97 @ main
kaushikvira/nvfp4full-dflash2-NInfer-v3 different artifact in the same family; cross-card rows measured in different sessions [L230-231]publisher comparison buildswift-abliterated v3NVFP4—————GSM8K-200 95.5%reference not statedL237 @ main
kaushikvira/nvfp4full-dflash2-NInfer-v3 different artifact in the same family; cross-card rows measured in different sessions [L230-231]publisher comparison buildswift15 v3NVFP4—————GSM8K-200 95.0%reference not statedL238 @ main
kaushikvira/nvfp4full-dflash2-NInfer-v3 different artifact in the same family; cross-card rows measured in different sessions [L230-231]publisher comparison buildthinkingcap v3NVFP4—————GSM8K-200 95.5%reference not statedL239 @ main
kaushikvira/nvfp4full-dflash2-NInfer-v3 different artifact in the same family; cross-card rows measured in different sessions [L230-231]publisher comparison buildswift15-uncensored-ajgazin v3NVFP4—————GSM8K-200 94.5%reference not statedL240 @ main
kaushikvira/swift15-nvfp4full-dflash2-NInfer-v3 Weights in VRAM [L126]publisher comparison buildSwift-1.0-abliterated (prev. prod)NVFP419.33GPU weights————IFBench prompt-loose 70.3; IFBench instr-strict 67.7; IFBench instr-loose 71.2; GSM8K-200 95.5% (191/200)other or no referenceL118 @ main
kaushikvira/swift15-nvfp4full-dflash2-NInfer-v3 Cross-session row, asterisked [L182]publisher comparison buildnvfp4full-dflash2.v3NVFP4—————GSM8K-200 96.5%*other or no referenceL182 @ main
kaushikvira/swift15-nvfp4full-dflash2-NInfer-v3 Cross-session row [L183]publisher comparison buildswift-abliterated v3NVFP4—————GSM8K-200 95.5%other or no referenceL183 @ main
kaushikvira/swift15-nvfp4full-dflash2-NInfer-v3 [L185]publisher comparison buildthinkingcap v3NVFP4—————GSM8K-200 95.5%other or no referenceL185 @ main
kaushikvira/swift15-nvfp4full-dflash2-NInfer-v3 [L186]publisher comparison buildswift15-uncensored-ajgazin v3NVFP4—————GSM8K-200 94.5%other or no referenceL186 @ main
kaushikvira/swift15-uncensored-ajgazin-nvfp4full-dflash2-NInfer-v3 comparison build [L69-70]publisher comparison buildSwift-1.5 (prod, censored)NVFP4—————IFBench prompt-strict 69.0; GSM8K-200 95.0%other or no referenceL69 @ main
kaushikvira/swift15-uncensored-ajgazin-nvfp4full-dflash2-NInfer-v3 family table, asterisked [L184]; different sessions [L179]publisher comparison buildnvfp4full-dflash2.v3NVFP4—————IFBench prompt-strict 65.0*; GSM8K-200 96.5%*other or no referenceL184 @ main
kaushikvira/swift15-uncensored-ajgazin-nvfp4full-dflash2-NInfer-v3 family table [L185]publisher comparison buildswift-abliterated v3NVFP4—————IFBench prompt-strict 66.3; GSM8K-200 95.5%other or no referenceL185 @ main
kaushikvira/swift15-uncensored-ajgazin-nvfp4full-dflash2-NInfer-v3 family table [L187]publisher comparison buildthinkingcap v3NVFP4—————IFBench prompt-strict 68.0; GSM8K-200 95.5%other or no referenceL187 @ main
kaushikvira/thinkingcap-nvfp4full-dflash2-NInfer-v3 comparison build in A/B table [L137-141]publisher comparison buildSwift-1.5 (our prod)NVFP4—————GSM8K-200 95.0% (190/200); IFBench prompt-strict 69.0; IFBench prompt-loose 72.7; IFBench instr-strict 70.4; IFBench instr-loose 73.6other or no referenceL137 @ main
kaushikvira/thinkingcap-nvfp4full-dflash2-NInfer-v3 asterisked values in family table [L203]; cross-card rows from different sessions [L198]publisher comparison buildnvfp4full-dflash2.v3NVFP4—————GSM8K-200 96.5%*; IFBench prompt-strict 65.0*other or no referenceL203 @ main
kaushikvira/thinkingcap-nvfp4full-dflash2-NInfer-v3 family table [L204]; different sessions [L198]publisher comparison buildswift-abliterated v3NVFP4—————GSM8K-200 95.5%; IFBench prompt-strict 66.3other or no referenceL204 @ main
kaushikvira/thinkingcap-nvfp4full-dflash2-NInfer-v3 family table [L207]; different sessions [L198]publisher comparison buildswift15-uncensored-ajgazin v3NVFP4—————GSM8K-200 94.5%; IFBench prompt-strict 70.3other or no referenceL207 @ main
kayceesamuel/NF4DQ referencepublisher comparison buildBF16bitsandbytes54.65download——6.9530 ppl:wikitext——vs BF16L24 @ main
kayceesamuel/NF4DQ throughput table lists 17.66 GiB for same build [L37]publisher comparison buildQ4_K_Mbitsandbytes16.81download——6.9787 ppl:wikitext——vs BF16L25 @ main
kayceesamuel/NF4DQ publisher comparison buildQ3_K_Mbitsandbytes13.58download——7.3362 ppl:wikitext——vs BF16L27 @ main
kdqemre/RQ2_K_L-GGUF publisher comparison buildQ5_K_M (Baseline)GGUF19.50download————GSM8K-100 98other or no referenceL91 @ main
kingjones777/ROCmFP4-STRIX-MTP-GGUF quoted by singulared, not measuredother publisher's 40-chunk run, not comparable to 145-chunk [L229-233]STRIX (40-chunk ppl)GGUF———5.8877——other or no referenceL229 @ main
kingjones777/ROCmFP4-STRIX-MTP-GGUF quoted by singulared, not measuredother publisher's 40-chunk run [L229]FAST (40-chunk ppl)GGUF———5.9233——other or no referenceL229 @ main
lackonendes/PAW-27B-X3-GGUF IFBench cell is '31.2%<br>—' so c20 is loose only, strict absentMBPP cells for this row not in candidatespublisher comparison buildQ8 parentGGUF—————MMLU-Pro 65.2%; IFBench_loose 31.2%<br>—; HumanEval 97.0; HumanEval+ 91.5; GSM8K 94.0%other or no referenceL90 @ main
Launch80/PARO-int5 GSM8K is a range 97.4-97.6%; only the low end has an id [L81]no disk size in tablepublisher comparison buildPARO-MXFP4other——90.3%——kld:top256 0.0419vs BF16L79 @ main
libertyhhn/GPTQ-W4A16-g128 Dense bf16 size 55.6 GB from prose [L24]publisher comparison buildDense (bf16)GPTQ55.60download————ppl:wikitext2 6.16; MMLU 0-shot 84.89; MMLU 5-shot 84.21; GSM8K 97.35vs BF16L24 @ main
Litwein/oQ4e-DWQ-MTP-Vision-MLX Measured on a 16-batch subset [L134]publisher comparison buildRaw oQ4e-XLMLX—————kld:heldout_teacher 0.0579other or no referenceL129 @ main
Litwein/oQ4e-DWQ-MTP-Vision-MLX publisher comparison buildM4Q initMLX—————kld:heldout_teacher 0.0287other or no referenceL129 @ main
Litwein/oQ4e-DWQ-MTP-Vision-MLX KL 0.019 vs the bf16 base [L101-102]; different reference from the held-out teacher KL rowspublisher comparison buildoQ8e teacherMLX—KL 0.019 vs————other or no referenceL101 @ main
lmcoleman/MagicQuant-GGUF Searched and measured but not published; dominated by Q4 [L54-60]Cell holds ppl and percent increase vs BF16 together [L60]publisher comparison buildQ5 (withheld, not published)GGUF18.98download———*6.7666 (+0.33%)*ppl:wikitext-2 *6.7666 (+0.33%)*vs BF16L60 @ main
lmcoleman/ROCmFPX-GGUF sibling repo not named [L33-34]publisher comparison buildsibling repo Q4_K_M (MagicQuant source)GGUF———6.7522 ppl:wikitext——vs BF16L33 @ main
lmstudio-community/MLX-4bit measured by Steven10429made from bf16 [L28]lmstudio-community/Qwen3.8-27B-MLX-4bitMLX16.05download————ppl:wikitext2 6.4349vs BF16L32 @ main
lmstudio-community (repo not named on card) measured by AtomicChat[L215]Q4_K_M (lmstudio-community)16.80download0.02094————vs BF16L215 @ main
Lottolabs/TT-Mixed-BFP4-BFP8-P150 Reference is the TT all-BFP8 build, not BF16 [L48]top-1 values are fractions as printed [L52-55]publisher comparison buildRound-to-nearest BFP4 (release dual-noc) vs TT all-BFP8NVFP4—————kld:chat 0.180; top1:chat 0.838; kld:code 0.053; top1:code 0.940; kld:instruct 0.013; top1:instruct 0.960; kld:all 0.103; top1:all 0.899vs BF16L52 @ main
lribeiro/FP8-Pessoa [L250]publisher comparison buildFP8 W8A8 (GPTQ)FP8—0.0102————other or no referenceL250 @ main
lribeiro/FP8-Pessoa [L251]publisher comparison buildFP8 W8A16 (ModelOpt)FP8—0.0127————other or no referenceL251 @ main
lribeiro/FP8-Pessoa Labeled way too big [L275]publisher comparison buildgptq-fp8-att (best quality, any size)FP8—0.0026————other or no referenceL275 @ main
lribeiro/FP8-Pessoa ~28 GB [L277]publisher comparison buildgptq-mxfp8-mixedFP8—0.0107————other or no referenceL277 @ main
lribeiro/FP8-Pessoa ~27 GB [L278]publisher comparison buildgptq-nvfp4-mixed-8FP8—0.0109————other or no referenceL278 @ main
lribeiro/FP8-Pessoa [L279]publisher comparison buildv17 (best all-FP8 W8A8)FP8—0.0123————other or no referenceL279 @ main
magiccodingman/MagicQuant-GGUF Struck through in table (replaced by MQ-Q6_K_1) [L35]publisher comparison buildLM-Q8_0GGUF29.05download~~0.000712~~————reference not statedL35 @ main
maglun/MLX-Mixed-3.80bpw measured on a different machine than the rest of the table [L131]publisher comparison buildBF16 text source (cross-host)MLX55.57text weights (excl. vision, MTP)————ppl:heldout-4doc 5.8107; ppl:heldout-6doc 5.6728; HumanEval+ 75.0%; GSM8K 91.7%vs BF16L74 @ main
maglun/MLX-Mixed-3.80bpw publisher's own earlier release [L98]publisher comparison buildmixed affine 4.95 bpw (sibling release)MLX17.57download————ppl:heldout-4doc 5.9056; ppl:heldout-6doc 5.7428; HumanEval+ 75.0%; GSM8K 100.0%vs BF16L74 @ main
maglun/MLX-Mixed-3.80bpw builder of this MXFP4 file not stated on card [L100]publisher comparison buildMXFP4, with BF16 vision + MTP drafterMLX15.21download————HumanEval+ 75.0%; GSM8K 100.0%vs BF16L100 @ main
maglun/MLX-Mixed-3.80bpw builder of this MXFP4 file not stated on card [L99]publisher comparison buildMXFP4, text onlyMLX14.29text weights (excl. vision, MTP)————HumanEval+ 75.0%; GSM8K 100.0%vs BF16L99 @ main
maglun/MLX-Mixed-4.95bpw measured on a different machine, not host-matched [L127]publisher comparison buildBF16 text source (cross-host)MLX55.57download——5.8107—HumanEval+ 75.0%; GSM8K 91.7%vs BF16L93 @ main
maglun/MLX-Mixed-4.95bpw author's sibling release [L97]publisher comparison buildsibling release - mixed affine 3.80 bpwMLX13.70download——6.4916—HumanEval+ 75.0%; GSM8K 91.7%vs BF16L97 @ main
malaiwah/EXL3-EDA-research incumbent hand-designed recipe [L93]re-captured row [L94] is bit-identical and omitted as duplicatepublisher comparison buildhydrated, publishedEXL3—0.00269988315968494397.797 %———other or no referenceL93 @ main
malaiwah/EXL3-K5K6 resident 17.89 GiB; size cell asterisked [L196]publisher comparison buildK4 (v5 10M)EXL328.31download0.01060495.76 %———vs BF16L196 @ main
malaiwah/EXL3-K5K6 resident 20.31 GiB [L193][L287]publisher comparison buildK5K6-hydrated (v5 10M)EXL321.61download0.00276097.70 %———vs BF16L193 @ main
malaiwah/EXL3-K5K6 shard-0, 512 contexts [L455]; payload bytespublisher comparison buildK5K6-hydrated (shard-0 replay)EXL321.60download0.00270097.80 %———vs BF16L455 @ main
malaiwah/EXL3-K5K6 resident 18.41 GiB; v5 value excludes int8 input overlay [L40,L195]publisher comparison buildK5K6-context (v5 10M)EXL320.70download0.00350997.44 %———vs BF16L195 @ main
malaiwah/EXL3-K5K6 shard-0 [L457]; payload bytespublisher comparison buildK5K6-context (shard-0 replay)EXL320.69download0.00340997.55 %———vs BF16L457 @ main
malaiwah/EXL3-K5K6 shard-0 [L461]publisher comparison buildK4 (shard-0 replay)EXL3—0.01034595.91 %———vs BF16L461 @ main
malaiwah/EXL3-K5K6-context resident c7 20.32 GiB [L138]MMLU-Pro 55/70 [L746]publisher comparison buildK5K6 (online K5/K6)EXL330.60download0.00321097.52 %——kld:v3_corrected 0.007945; kld:v4 0.003455; top1:v4 97.50 %; MMLU-Pro 55/70 (78.6 %); kld:shard0 0.003141; top1:shard0 97.61 %vs BF16L138 @ main
malaiwah/EXL3-K5K6-context resident c18 17.89 GiB [L140]asterisk after download size on card [L140]MMLU-Pro 57/70 [L743]publisher comparison buildK4EXL328.31download0.01060495.76 %——kld:v3_corrected 0.029679; MMLU-Pro 57/70 (81.4 %); kld:shard0 0.010345; top1:shard0 95.91 %vs BF16L140 @ main
malaiwah/EXL3-K5K6-context resident c2 20.31 GiB [L137]MMLU-Pro 56/70 [L744]publisher comparison buildK5K6-hydratedEXL321.61download0.00276097.70 %——kld:v3_corrected 0.007172; kld:v4 0.003093; top1:v4 97.63 %; MMLU-Pro 56/70 (80.0 %); kld:shard0 0.002700; top1:shard0 97.80 %vs BF16L137 @ main
malaiwah/EXL3-K5K6-hydrated [L321]publisher comparison buildonline K5/K6 sibling v5 10MEXL321.82resident0.00321097.52 %———other or no referenceL321 @ main
malaiwah/EXL3-K5K6-hydrated [L780]publisher comparison buildBF16-attention sibling v3 136-contextEXL321.82resident0.00815796.97 %———other or no referenceL780 @ main
malaiwah/EXL3-K5K6-hydrated [L497] payload bytespublisher comparison buildcontext edition vLLM shard0EXL320.69download0.00340997.55 %———other or no referenceL497 @ main
malaiwah/EXL3-K5K6-hydrated [L322] excludes int8 input overlay [L40]publisher comparison buildcontext edition v5 10MEXL319.77resident0.00350997.44 %———other or no referenceL322 @ main
malaiwah/EXL3-K5K6-hydrated [L324]publisher comparison buildK4 v5 10MEXL319.21resident0.01060495.76 %———other or no referenceL324 @ main
malaiwah/EXL3-K5K6-hydrated [L496]publisher comparison buildonline K5/K6 vLLM shard0EXL3—0.00314197.61 %———other or no referenceL496 @ main
malaiwah/EXL3-K5K6-hydrated [L501]publisher comparison buildK4 shard0EXL3—0.01034595.91 %———other or no referenceL501 @ main
malaiwah/EXL3-K5K6-hydrated [L854]publisher comparison buildK5/K6 online K6 v4 36-contextEXL3—0.00345597.50 %———other or no referenceL854 @ main
malaiwah/EXL3-K5K6-hydrated [L855]publisher comparison buildcontext edition v4 36-contextEXL3—0.00399097.36 %———other or no referenceL855 @ main
malaiwah/EXL3-K6-parity same engine and reference as this build [L113]publisher comparison buildhydrated K5/K6EXL321.59download0.00270097.797 %———vs BF16L110 @ main
malaiwah/EXL3-S16-V-research nearest neighbour build [L74]percentile columns marked * are binned approximations [L131,L135]publisher comparison buildK4EXL3—0.01034595.91 %——kld_99 0.119353*vs BF16L131 @ main
malaiwah/EXL3-S16-V-research recommended build by same publisher [L37]percentile columns marked * are binned approximations [L130]publisher comparison buildcontext edition (malaiwah/Qwen3.8-27B-EXL3-K5K6-context)EXL3—0.00340997.55 %——kld_99 0.035699*vs BF16L130 @ main
malekoo/MLX-4bit ~54 GB bf16 MLX artifact [L22]publisher comparison buildbf16 MLX conversionMLX54.00download————ppl:wikitext2 6.9352vs BF16L22 @ main
malekoo/MLX-8bit reference build, ~54 GB on disk [L22]publisher comparison buildbf16 MLX conversionMLX54.00download————ppl:wikitext-2 6.9352vs BF16L22 @ main
malekoo/MLX-8bit 4-bit perplexity only in prose [L33]publisher comparison buildMLX 4-bitMLX—————ppl:wikitext-2 7.0871vs BF16L33 @ main
malekoo/MLX-bf16 measured in identical harness [L126-129]publisher comparison buildmalekoo/Qwen3.8-27B-MLX-4bitMLX15.00unknown——7.0871——other or no referenceL129 @ main
manitcor/Obliterated-E03-bnb-4bit parent checkpointpublisher comparison buildBF16 E03bitsandbytes———3.2099—capability checks 83.3%vs BF16L140 @ main
MESHIVEAI/Qwen-3.8-27B-Q4_K_M-Imatrix same F16 GGUF and Q4_K_M recipe, same tensor size [L47-L49]publisher comparison buildQ4_K_M, no imatrixother—0.025196 ± 0.00029192.97% ± 0.076.9755—ppl:korean-wikipedia 6.9596; ppl_delta_pct:korean-wikipedia +1.18%other or no referenceL54 @ main
MESHIVEAI/Qwen-3.8-27B-Q4_K_M-Imatrix unquantized baseline [L61, L79]publisher comparison buildF16 referenceother—————ppl:korean-wikipedia 6.8782other or no referenceL61 @ main
Mihai-LeanZero/Atlassian-Q6_K-GGUF Q8_0 file measured mean KLD 0.000842 under same procedure [L33]publisher comparison buildQ8_0GGUF—0.000842————vs BF16L33 @ main
Mihai-LeanZero/Atlassian-Q8_0-GGUF mean KLD 0.00306 vs same bf16 GGUF [L33]publisher comparison buildQ6_KGGUF—0.00306————vs BF16L33 @ main
Minachist/INT5-Flat-5.7bpw-AutoRound reference [L38-39]publisher comparison buildBF16 baseAutoRound———7.9112 ppl:wikitext—top1:wikitext 100 %vs BF16L38 @ main
Minachist/INT6-Flat-6.6bpw-AutoRound reference PPL [L40]publisher comparison buildBF16 baseAutoRound———7.9112——vs BF16L40 @ main
Minachist/INT6-Mixed-AutoRound reference row [L35-43]publisher comparison buildBF16 baseAutoRound——100 %7.9112——vs BF16L35 @ main
minima-ai/mnma_qwen3.8_27b_nvfp4 BF16 baseline served identically [L69-70]Weights in VRAM 50.13 GiB [L81]publisher comparison buildBF16NVFP453.83GPU weights————ppl:wikitext2-4k 6.95; ppl:wikitext2-32k 10.35; MMLU-Pro 80.4; GSM8K 95.5; AIME25 86.7; GPQA-Diamond 86.5; LiveCodeBench-v6 79.0vs BF16L74 @ main
mlasli/Heretic-Abliterated-MLX-6bit GSM8K delta called a measurement artifact [L85]publisher comparison buildv2.1.0 BF16 (mlasli/Qwen3.8-27B-Heretic-Uncensored-BF16)MLX—————MMLU 82.62; ARC-Challenge 57.42; HellaSwag 82.48; Winogrande 75.69; GSM8K flexible-extract 58.38; GSM8K strict-match 58.91vs BF16L78 @ main
mlx-community/4bit measured by abuarchiveOfficial 4-bit release measured by card author [L25, L29-31]Prompt battery completed 15 of 16 [L35]4-bit (mlx-community)MLX15.00download————ppl:tulu-3-sft-mixture 5.405 ± 0.159other or no referenceL29 @ main
mlx-community/4bit measured by leonsarmientorun by card author on same harness [L56]Qwen3.8-27B-4bit (vanilla uniform)MLX—————MMLU 78.0%; MMLU_PRO 56.0%other or no referenceL88 @ main
mlx-community/mxfp4 measured by avlp12[L374]mxfp4 (mlx-community)MLX14.21download0.143786.4%———vs BF16L374 @ main
mlx-community/nvfp4 measured by avlp12repo id inferred from L46 listing of mlx-community/Qwen3.8-27B-{4bit,8bit,mxfp4,nvfp4} [L373]nvfp4 (mlx-community)MLX15.01download0.096289.0%———vs BF16L373 @ main
neroued/NInfer measured by WarlaxZUpstream revision 1cbd84e7 measured by card author [L71, L80-88]Upstream NInfer encoding and layoutother—0.0376———ppl:perplexity-1m 4.3428; ppl:heldout-2026-09 4.3396other or no referenceL80 @ main
nom666/Qwopus3.8-27B-MTPLX-8bit-Quality Speed-focused sibling [L19]publisher comparison buildQwopus3.8-27B-MTPLX-4bit-Speedother—————non-thinking suite 37/38other or no referenceL44 @ main
not named on card measured by TechnoBaptistFP16 reference [L212]Qwen3.8-27B FP1654.00download————MMLU-Redux 91.46; MuSR 79.63; GSM8K 97.19; MATH-500 99.80; AIME25 96.67; AIME26 94.58; HumanEval+ 93.29; MBPP+ 83.86; LiveCodeBench 90.05; IFEval 91.50; IFBench 71.00; BFCL v3 76.74; MMMU-Pro 81.73; OCR Bench v2 60.99other or no referenceL212 @ main
not named on card measured by drawthingsaiBF16 reference run by card author [L73]Qwen3.8-27B-BF1649.98download————AIME 2026 100.00%vs BF16L73 @ main
not named on card measured by TelperionAIsize ~30 GB [L32]Qwen FP8 (reference, vLLM)FP830.00download—96.15%———vs BF16L32 @ main
not named on card measured by TelperionAIdisagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]Qwen3.8-27B-FP8 (official)FP830.00download—96.15%———vs BF16L47 @ main
not named on card measured by TelperionAIsize ~30 GB [L32]Qwen FP8 (reference, vLLM)FP830.00download—96.15%———vs BF16L32 @ main
not named on card measured by TelperionAIdisagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]Qwen3.8-27B-FP8 (official)FP830.00download—96.15%———vs BF16L47 @ main
not named on card measured by TelperionAIsize ~30 GB [L32]Qwen FP8 (reference, vLLM)FP830.00download—96.15%———vs BF16L32 @ main
not named on card measured by TelperionAIQwen's own FP8 release measured by card author [L14-15, L34]Qwen FP8 (same format, no AWQ)AWQ30.00unknown—96.15%———vs BF16L34 @ main
not named on card measured by glydmeasured by card author, repo not named [L27]Qwen FP8FP829.50download0.00465————vs BF16L27 @ main
not named on card measured by glyd[L27]Qwen FP8FP829.50download0.00465————vs BF16L27 @ main
not named on card measured by tooltdprovider not given in row [L60]UD-Q8_K_XL29.30download0.00085098.970%6.953800——vs BF16L60 @ main
not named on card measured by malaiwahllama.cpp cross-engine; engine control 0.000507 mean not subtracted [L467-470]GGUF Q8_0 llama.cppGGUF29.04download0.00108798.53 %———vs BF16L452 @ main
not named on card measured by malaiwahshard-0 of own suite for c71/c72, cross-engine, not directly comparable with vLLM rows [L459-461,L619-621]wikitext columns are llama.cpp's own protocol, measured by card author [L647-660]GGUF Q8_0 llama.cppGGUF29.04download0.00108798.53 %——kld:wikitext 0.000926 ± 0.000042; top1:wikitext 98.761 %vs BF16L461 @ main
not named on card measured by malaiwahdifferent engine, not directly comparable [L689]GGUF Q8_0 llama.cpp shard0GGUF29.04download0.00108798.53 %———other or no referenceL492 @ main
not named on card measured by Ar3ntizsize approximate (about 28.6) [L58]MLX affine 8-bitMLX28.60download0.002————vs BF16L58 @ main
not named on card measured by Jianqiao1[L62]Unsloth UD-Q6_K_XL25.92download0.00133198.493%6.953912—kld_99 0.011536vs BF16L62 @ main
not named on card measured by TelperionAI[L36]RadixArk NVFP4NVFP424.70unknown—90.23%———vs BF16L36 @ main
not named on card measured by TelperionAI[L37]unsloth NVFP4NVFP424.70unknown—91.75%———vs BF16L37 @ main
not named on card measured by tooltdUD-Q6_K_XL24.14download0.00138098.520%6.953600——vs BF16L61 @ main
not named on card measured by malaiwah[L454]GGUF Q6_K llama.cppGGUF22.88download0.00203597.98 %———vs BF16L454 @ main
not named on card measured by malaiwahcross-engine [L463]wikitext protocol [L661]GGUF Q6_K llama.cppGGUF22.88download0.00203597.98 %——kld:wikitext 0.002286 ± 0.000108; top1:wikitext 97.875 %vs BF16L463 @ main
not named on card measured by malaiwah[L494]GGUF Q6_K llama.cpp shard0GGUF22.88download0.00203597.98 %———other or no referenceL494 @ main
not named on card measured by malaiwahdifferent engine (llama.cpp) so not a format-only comparison [L25,L116-119]GGUF Q6_K (llama.cpp)GGUF22.88download0.00203597.980 %———vs BF16L111 @ main
not named on card measured by tooltdQ6_K21.31download0.00229097.860%6.950700——vs BF16L62 @ main
not named on card measured by finalventpublicly distributed NVFP4 of the same base; repo not named [L95]Generic 4-bit (public NVFP4)NVFP420.60download————ReferenceFactsCaptured 0.53; ReferenceFactsContradictedPct 12.4%; OverconfidentPerPhoto 0.97; ClearErrorsPerPhoto 0.43vs BF16L77 @ main
not named on card measured by malaiwah[L459]GGUF UD-Q5_K_XL llama.cppGGUF20.22download0.00444497.20 %———vs BF16L459 @ main
not named on card measured by malaiwahcross-engine [L468]wikitext protocol [L662]GGUF UD-Q5_K_XL llama.cppGGUF20.22download0.00444497.20 %——kld:wikitext 0.004426 ± 0.000167; top1:wikitext 97.178 %vs BF16L468 @ main
not named on card measured by malaiwah[L499]GGUF UD-Q5_K_XL llama.cpp shard0GGUF20.22download0.00444497.20 %———other or no referenceL499 @ main
not named on card measured by Jianqiao1[L61]Unsloth UD-Q5_K_XL20.22download0.00452697.153%6.967300—kld_99 0.040594vs BF16L61 @ main
not named on card measured by TelperionAI[L38]Inferact NVFP4NVFP420.10unknown—84.11%———vs BF16L38 @ main
not named on card measured by kingjones777measured by card author; ggml-org build, repo not named for this file [L92]Q4_K_M (reference, ggml-org)18.97download——5.8926——other or no referenceL92 @ main
not named on card measured by tooltdQ5_K_M18.47download0.00622096.700%6.974200——vs BF16L63 @ main
not named on card measured by Jianqiao1[L60]Unsloth UD-Q4_K_XL17.92download0.00864096.073%6.976017—kld_99 0.090719vs BF16L60 @ main
not named on card measured by trevestppl_delta_pct is vs Q8_0 [L27]unsloth UD-Q4_K_XL17.92download——7.0057+0.24%—vs a Q8_0L27 @ main
not named on card measured by TechnoBaptistConventional 4-bit comparison build [L213]Qwen3.8-27B UD-Q4_K_XL17.60download————MMLU-Redux 93.35; MuSR 73.01; GSM8K 96.66; MATH-500 99.40; AIME25 92.91; AIME26 93.00; HumanEval+ 95.73; LiveCodeBench 87.96; IFEval 88.83; IFBench 65.65; BFCL v3 75.05; OCR Bench v2 65.45other or no referenceL213 @ main
not named on card measured by varshavvvvvMBPP+ and MMMU-Pro cells blank [L249,L254]Qwen3.8-27B UD-Q4_K_XL17.60text weights (excl. vision, MTP)————MMLU-Redux 93.35; MuSR 73.01; GSM8K 96.66; MATH-500 99.40; AIME25 92.91; AIME26 93.00; HumanEval+ 95.73; LiveCodeBench 87.96; IFEval 88.83; BFCL v3 75.05; OCR Bench v2 65.45other or no referenceL213 @ main
not named on card measured by kacaforyahmedian KLD 0.0065 also in table [L77]llama.cpp Q4_K_M16.80download0.015694.7%6.4571.000xppl_ratio:paired 1.0031 +/- 0.0011; kld_99 0.146; ppl_delta_pct:wikitext-2 +0.31% +/- 0.11%; ppl_delta_pct:C4 +1.0% +/- 0.2%; ppl_delta_pct:python-stdlib +3.1% +/- 0.5%; ppl_delta_pct:pride-and-prejudice +7.9% +/- 0.8%; MMLU-Pro:scorerB 57.14 +/- 0.45other or no referenceL35 @ main
not named on card measured by andrew-paul[L31]Stock Q4_K_M16.73download0.016437————vs BF16L31 @ main
not named on card measured by tooltdUD-Q4_K_XL16.69download0.00860696.091%6.979220——vs BF16L64 @ main
not named on card measured by singularedPPL +/- 0.0402; -0.033 vs STRIX (c46) [L144]mainline Q4_K_M (reference)16.55download——6.3383 ± 0.0402——other or no referenceL144 @ main
not named on card measured by tooltdQ4_K_M15.93download0.01549094.650%6.956100——vs BF16L69 @ main
not named on card measured by tooltdAutoround-Q4_K_M (Autoround)AutoRound15.66download0.01465794.859%6.950294——vs BF16L67 @ main
not named on card measured by Ar3ntizsize approximate (about 15.2) [L57]MLX affine 4-bitMLX15.20download0.045————vs BF16L57 @ main
not named on card measured by tooltdEvalPlus row named Qwen3.8-27B-IQ4_NL [L38]IQ4_NL15.20download0.01842794.230%7.006472—HumanEval 0.951; HumanEval+ 0.915; MBPP 0.902; MBPP+ 0.778vs BF16L38 @ main
not named on card measured by tooltdQ4_K_S15.01download0.01892194.235%6.966826——vs BF16L76 @ main
not named on card measured by avlp12[L372]orcarouter 4-bit14.95download0.075490.3%———vs BF16L372 @ main
not named on card measured by tooltdQ4_K_S-i114.74download0.01980593.996%6.989551——vs BF16L78 @ main
not named on card measured by tooltdQ4_0-AutoRound-Code (webhie)AutoRound14.64download0.02658692.970%7.067142——vs BF16L81 @ main
not named on card measured by tooltdIQ4_XS14.63download0.01865294.270%7.012695——vs BF16L73 @ main
not named on card measured by tooltdUD3-Q4_K_S (unsloth UD3)14.30download0.01365295.149%6.969514——vs BF16L66 @ main
not named on card measured by tooltdIQ4_XS-i114.26download0.01927194.141%7.012810——vs BF16L77 @ main
not named on card measured by kacaforyahKLD row measured on L40S with re-made file [L81]llama.cpp Q3_K_M13.50download0.049690.4%6.7081.039xppl_ratio:paired 1.0395 +/- 0.0021; kld_99 0.504; MMLU-Pro:scorerB 56.50 +/- 0.45other or no referenceL36 @ main
not named on card measured by Jianqiao1[L59]Unsloth UD-Q3_K_XL13.44download0.03135592.396%7.111811—kld_99 0.353498vs BF16L59 @ main
not named on card measured by tooltdUD3-IQ4_XS (unsloth UD3)13.27download0.01877293.975%7.004732—HumanEval 0.890; HumanEval+ 0.866; MBPP 0.897; MBPP+ 0.751vs BF16L46 @ main
not named on card measured by tooltdIQ4_XS-Smaller_3.96 (jrell)12.61download0.05549990.090%7.252766——vs BF16L91 @ main
not named on card measured by Bucoidcomparison build of similar size, measured by this card's author [L11]kld_99 is the 99.9% KL quantile [L25]UD_IQ3_K_XL12.50download0.03130 ± 0.0003292.419% ± 0.069%7.1117 ± 0.0459——vs BF16L19 @ main
not named on card measured by Bucoidbaseline same-size build; publisher/repo not named; card calls it roughly 3-bit [L61,L54]UD_IQ3_K_XL12.50download0.03130 ± 0.0003292.419% ± 0.069%7.1117 ± 0.0459—kld_max 21.409; kld_999 1.219other or no referenceL60 @ main
not named on card measured by andrew-paul[L32]Stock Q3_K_S12.26download0.088238————vs BF16L32 @ main
not named on card measured by tooltdIQ4_XS-3.84bpw12.18download0.04951390.989%7.158078——vs BF16L86 @ main
not named on card measured by Jianqiao1[L58]Unsloth UD-IQ3_XXS11.91download0.05451790.359%7.246240—kld_99 0.627471vs BF16L58 @ main
not named on card measured by kacaforyahincludes unused MTP block 0.45 GB [L47]llama.cpp IQ3_XXS11.60download——6.9281.073xMMLU-Pro:scorerA 53.3other or no referenceL38 @ main
not named on card measured by talxcc[L64]Standard Q3_K_L11.40download————Coding_Retention ~94.2%other or no referenceL64 @ main
not named on card measured by tooltdGSQ-RCO-IQ3_S (ISTA)11.29download0.05547589.657%7.062697——vs BF16L89 @ main
not named on card measured by sdkyuan[L72-76]Unsloth UD-IQ3_XXS10.93download————top1:reasoning 95.7%; kld:reasoning 0.018; top1:code 94.6%; kld:code 0.038; top1:tool_calling 84.0%; kld:tool_calling 0.929; top1:wikitext 90.0%; kld:wikitext 0.064other or no referenceL72 @ main
not named on card measured by Jianqiao1[L57]Unsloth UD-Q2_K_XL10.68download0.09157986.160%7.403969—kld_99 0.925859vs BF16L57 @ main
not named on card measured by kacaforyah[L114-115]llama.cpp IQ2_M10.50download——7.3181.134xMMLU-Pro:scorerA 53.2other or no referenceL39 @ main
not named on card measured by Jianqiao1[L56]Unsloth UD-IQ2_M10.32download0.10356485.496%7.507406—kld_99 1.076759vs BF16L56 @ main
not named on card measured by andrew-paulKLD printed as approximate (about 0.1551) [L33]Stock IQ2_M10.19download≈0.1551————vs BF16L33 @ main
not named on card measured by wiklif[L118]ISTA-DASLab GSQ-RCO IQ3_XXS10.09download0.0783 kld:prose———kld:code 0.0602vs a Q8_0L118 @ main
not named on card measured by drawthingsaiCommunity baseline, same profile [L76,L173]AD-IQ2_XS9.9download————AIME 2026 96.67%; GPQA Diamond 76.77%; IFEval 90.20%; BFCL v4 (1k) 68.46%vs BF16L76 @ main
not named on card measured by sdkyuan[L56-60]Unsloth UD-Q2_K_XL9.8download————top1:reasoning 94.4%; kld:reasoning 0.032; top1:code 93.1%; kld:code 0.061; top1:tool_calling 82.5%; kld:tool_calling 1.026; top1:wikitext 87.5%; kld:wikitext 0.098other or no referenceL56 @ main
not named on card measured by drawthingsaiCommunity baseline, same profile [L74,L173]UD-Q2_K_XL9.8download————AIME 2026 100.00%; GPQA Diamond 85.35%; IFEval 93.89%; BFCL v4 (1k) 69.46%vs BF16L74 @ main
not named on card measured by TechnoBaptistConventional '2-bit' comparison build, real 2.8 bpw [L87,L214]Qwen3.8-27B IQ2_XXS9.4download————MMLU-Redux 88.93; MuSR 66.99; GSM8K 89.90; MATH-500 84.60; AIME25 66.67; AIME26 57.50; HumanEval+ 91.46; MBPP+ 78.89; LiveCodeBench 56.40; IFEval 84.03; IFBench 53.76; BFCL v3 70.28; MMMU-Pro 65.19; OCR Bench v2 61.70other or no referenceL214 @ main
not named on card measured by varshavvvvvdescribed as a widely-used 2-bit build [L87]Qwen3.8-27B IQ2_XXS9.4text weights (excl. vision, MTP)————MMLU-Redux 88.93; MuSR 66.99; GSM8K 89.90; MATH-500 84.60; AIME25 66.67; AIME26 57.50; HumanEval+ 91.46; MBPP+ 78.89; LiveCodeBench 56.40; IFEval 84.03; BFCL v3 70.28; MMMU-Pro 65.19; OCR Bench v2 61.70other or no referenceL214 @ main
not named on card measured by Jianqiao1[L55]Unsloth UD-IQ2_XXS9download0.16368982.389%7.957195—kld_99 1.739405vs BF16L55 @ main
not named on card measured by lackonendes[L43]AtomicChat AD-IQ2XXS9download————MMLU-Pro 53.0%; GSM8K 94%; HumanEval+ 73.8%; MBPP+ 71.7%other or no referenceL43 @ main
not named on card measured by drawthingsaiCommunity baseline, same profile [L77,L173]AD-IQ1_M8.5download————AIME 2026 90.00%; GPQA Diamond 51.01%; IFEval 78.37%; BFCL v4 (1k) 62.08%vs BF16L77 @ main
not named on card measured by drawthingsaiCommunity baseline, same profile [L75,L173]UD-IQ2_S8.4download————AIME 2026 96.67%; GPQA Diamond 79.29%; IFEval 90.39%; BFCL v4 (1k) 68.26%vs BF16L75 @ main
not named on card measured by sdkyuan[L64-68]Unsloth UD-IQ2_S8.4download————top1:reasoning 92.9%; kld:reasoning 0.052; top1:code 91.5%; kld:code 0.089; top1:tool_calling 78.9%; kld:tool_calling 1.271; top1:wikitext 84.5%; kld:wikitext 0.148other or no referenceL64 @ main
not named on card measured by anemlldecoded to BF16, scored in PyTorch [L87]; bpw in size cellMirai S (2.4-bit trellis)8.1text weights (excl. vision, MTP)0.1279 kld:heldout85.1%——kld:dev 0.1226; kld:dev_full 0.2716; kld_99 5.73; kld:wikitext 0.1674vs BF16L94 @ main
not named on card measured by anemlldecoded to BF16, scored in PyTorch [L80]Mirai S (2.4-bit trellis)8.1text weights (excl. vision, MTP)0.1279 kld:heldout85.1%——kld:dev 0.1226; kld:dev_full 0.2716; kld_99 5.73; kld:wikitext 0.1674vs BF16L87 @ main
not named on card measured by oshitekuFootnote 1 only: 7.3 GB, 84.0% / 0.311 [L77]UD-IQ2_XXS7.3download0.31184.0———vs BF16L77 @ main
not named on card measured by lackonendes[L42]Unsloth IQ2XXS7.3download————MMLU-Pro 46.2%; GSM8K 93%; HumanEval+ 84.1%; MBPP+ 72.8%other or no referenceL42 @ main
not named on card measured by CodeMasterCody3Dmeasured head-to-head on same binary, kernels and text per card [L102]; row label reads 'wikitext c512 PPL 11.8346 (with Doctors)' [L108]card states 2.125 bpw for Bonsai in the size cell [L107]Ternary-Bonsai-27B (with Doctors comparison row)7.2download——11.01 ppl:wikitext——reference not statedL106 @ main
not named on card measured by Ar3ntizcolumn alignment of row L65 uncertain (BBH/Long context labels) [L62,L65]GGUF Q8_0 (llama.cpp)GGUF—————GSM8K 18; MATH 13vs BF16L65 @ main
not named on card measured by Ar3ntizcolumn alignment of row L66 uncertain [L62,L66]MLX 8-bit (LM Studio)MLX—————GSM8K 17; MATH 12vs BF16L66 @ main
not named on card measured by AveLabsOfficial Qwen3.8-27B NVFP4 build measured by card author [L84-91]Stock Qwen3.8-27B NVFP4 (chat)NVFP4—————GSM8K 86.0%; MMLU-Pro 75.8%vs BF16L89 @ main
not named on card measured by Chungulusreference perplexity on the same 106 positions [L164]BF16 reference———perplexity": 9.84727010437735,——vs BF16L164 @ main
not named on card quoted by DuoNeural, not measuredLabeled 'Official' reference column [L72-78]; source not namedOfficial Uncompressed BF16GGUF—————ARC-Challenge 58.87%; Winogrande 75.85%; GSM8K 90.0%; HumanEval 68.0%; HellaSwag 82.82%; TruthfulQA 77.0%vs BF16L72 @ main
not named on card measured by Freaksterzmeasured on same harness [L19, L28]Minachist W8A16 AutoRound gs128 (weight-only)AutoRound—0.0023097.9%———vs BF16L28 @ main
not named on card measured by Freaksterzmeasured on same harness [L33]lokeshe09 INT8 W8A8 (264 modules)INT8—0.0211094.0%———vs BF16L33 @ main
not named on card quoted by JMVRoill, not measuredReported by orcarouter on separate FP8 build [L215-220]base FP8 (orcarouter table, left of arrow)NVFP4—————MMLU 84.3; MMLU-Pro 77.6; GSM8K 90.0; CMMLU 81.4other or no referenceL225 @ main
not named on card quoted by JMVRoill, not measuredMeasured on FP8 build, not on this artifact [L215-217]orcarouter Uncensored FP8 build (right of arrow)NVFP4—————MMLU 84.7; MMLU-Pro 76.8; GSM8K 88.7; CMMLU 80.8other or no referenceL225 @ main
not named on card measured by QTMLAMD reference release compared independently by card author [L276-284]AMD reference MXFP4MXFP4—0.111————vs BF16L280 @ main
not named on card quoted by Reza2kn, not measuredbenchmark author's published reference, not an independent run here [L110]Published Jev 1.13.0 referenceother—————Jev Noul % 99.38other or no referenceL103 @ main
not named on card measured by WarlaxZSize 17.56 GB mentioned in row label, no candidate id [L91]Unsloth UD-Q4_K_XL (llama.cpp formats)—0.0156————other or no referenceL91 @ main
not named on card measured by abhishekchohanBase measured by card author on same harness and hardware [L58-60]Base BF16—————GSM8K 95.60; GPQA Diamond 61.11; Minerva Math500 73.2; RealWorldQA 84.31; MathVision 78.06; ARC-Easy 82.53; ARC-Challenge 56.91; HellaSwag 56.50; Winogrande 76.16; TruthfulQA MC1 35.99; Average 70.04other or no referenceL70 @ main
not named on card measured by akopytko[L67]unsloth NVFP4NVFP4—0.070824 +/- 0.00073388.061 +/- 0.144%———vs BF16L67 @ main
not named on card measured by akopytko[L68]NVIDIA+Q6_K—0.039314 +/- 0.00043290.784 +/- 0.128%———vs BF16L68 @ main
not named on card measured by armin1Qwen's official FP8 measured by card author on GSM8K [L124, L46]Qwen FP8FP8—————GSM8K 95.98%vs BF16L124 @ main
not named on card measured by avlp12measured by card author on same 35 windows: KL 0.00322, top-1 97.33% [L320]; their published 0.00216 is single-window [L321]mlx-community 6-bit (their 6-bit)MLX—0.00322————vs BF16L320 @ main
not named on card measured by avlp12KL 0.00105 / top-1 98.47% on same 35 windows, a tie with this build [L324]mlx-community 8-bitMLX—0.0010598.47%———vs BF16L324 @ main
not named on card measured by cdiamondsame short sample [L55]Q4_1———6.1127——other or no referenceL55 @ main
not named on card measured by cdiamondshort WikiText-2 control [L20]Plain Q4_0———6.3798——other or no referenceL20 @ main
not named on card measured by cdiamondshort WikiText-2 control [L20]ready-made FP4 fileNVFP4———6.4949——other or no referenceL20 @ main
not named on card measured by dfed24reference is Q8_0, not bf16 [L38]unsloth UD-Q4_K_M (llama.cpp vs unsloth Q8_0 reference)—————kld:wiki 0.0104; top1:wiki 95.89; kld:code 0.0163; top1:code 98.75; kld:multilingual 0.0085; top1:multilingual 95.85vs BF16L43 @ main
not named on card measured by guideboardlabsrow label states 11.9GB, no table size cell [L44]UD-IQ3_XXS (control)—————ppl:wikitext-2 7.1553other or no referenceL44 @ main
not named on card quoted by intel-ai, not measuredsibling reference card numbers, cross-linked [L37,L114]full-MXFP8 (MTP BF16) siblingMXFP8—————mmlu 0.8348vs BF16L114 @ main
not named on card measured by kirillbilchenkoReference row [L137]BF16 source—————ppl:wikitext2 7.980864vs BF16L137 @ main
not named on card measured by kirillbilchenkoThird-party MXFP4 comparison measured on same protocol [L140]AMD Quark-AWQ MXFP4MXFP4—————ppl:wikitext2 8.187544vs BF16L140 @ main
not named on card measured by lackonendesQwen3.8-27B-DFlash2-EXL3-5.0bpw comparison artifact from Mia's ExLlamaV3 fork [L221-223]; 14.2 GB in row label; EXL3 speed from different harness [L103]MIA / EXL3EXL3—————MMLU-Pro 65.2%; IFBench_loose 34.4; IFBench_strict 32.8; HumanEval 95.7; HumanEval+ 90.9; GSM8K 93.0%other or no referenceL93 @ main
not named on card measured by lackonendes10.2 GB in row label [L96]Escha-W2—————MMLU-Pro 61.8%; IFBench_loose 31.2; IFBench_strict 29.7; HumanEval 95.1; HumanEval+ 90.9; GSM8K 95.0%other or no referenceL96 @ main
not named on card measured by lackonendes7.3 GB in row label [L99]; HumanEval base is a dash, c85 is the HumanEval+ valuebpw cell is '~2'Unsloth IQ2XXS—————MMLU-Pro 46.2%; IFBench_loose 23.4; IFBench_strict 14.1; HumanEval+ —<br>84.1%; GSM8K 93.0%other or no referenceL99 @ main
not named on card measured by lackonendes9.0 GB in row label [L100]; HumanEval base is a dash, c90 is HumanEval+bpw cell is '~2'AtomicChat AD-IQ2XXS—————MMLU-Pro 53.0%; IFBench_loose 20.3; IFBench_strict 20.3; HumanEval+ —<br>73.8%; GSM8K 94.0%other or no referenceL100 @ main
not named on card measured by nicosuterbaseline measured by same author on same items [L102-104]FP8 checkpoint (baseline arm)FP8—————BFCL 81.27; GPQA_Diamond 89.90; LiveCodeBench_v6 87.71; MMMU-Pro 76.91; Multimodal 86.08; macro_5_suites 84.37; RULER 92.17other or no referenceL112 @ main
not named on card measured by oracomputingretention 92.1% (c21), body BPW c20 [L48]Escha W2—————MMLU-Pro 71.24; AIME-25 87.50; Average 79.37other or no referenceL48 @ main
not named on card quoted by rdtand, not measureduser-reported tool-eval-bench v2.5.1 score under vLLM 0.27.2rc1 [L212-214]PrismaQuant AQUA-AURA 5.5 bpp (community ToolEvalBench)other—————tool-eval-bench 93/100vs BF16L213 @ main
not named on card measured by tooltdEvalPlus only [L47]UD3-Q3_K_XL—————HumanEval 0.823; HumanEval+ 0.805; MBPP 0.881; MBPP+ 0.751vs BF16L47 @ main
notnaurw/oQ5e-SAGE-ARCS-mtp agentic head-KL of SAGE not given as a single number in digest; stock head-KL in prose [L158]publisher comparison buildSAGEother—————kld:stock 0.010348; kld:agentic_fullvocab 0.434296vs BF16L158 @ main
notnaurw/oQ5e-SAGE-CREST-mtp Comparator built by card author [L100,L102]publisher comparison builduniform 6-bit (MLX affine, group 64, text-only, bf16 MTP)other22.71download————kld:generalist_head 0.008508vs BF16L100 @ main
notnaurw/oQ5e-SAGE-CREST-mtp 1.54 GB smaller than SAGE-CREST [L100]publisher comparison buildSAGE-PATHSother—————kld:generalist_head 0.012280vs BF16L197 @ main
notnaurw/oQ5e-SAGE-CREST-mtp generalist head-KL 0.010153 [L197]publisher comparison buildSAGEother—————kld:generalist_head 0.010153vs BF16L197 @ main
notnaurw/oQ5e-SAGE-PATHS-mtp comparator built by the card author [L140]publisher comparison builduniform 6-bit (MLX affine, group 64, text-only)other22.71download————kld:generalist_head 0.008508vs BF16L140 @ main
notnaurw/oQ5e-SAGE-PATHS-mtp generalist head-KL 0.010153 prose only [L645]; 5.92 bpw prose only [L104]publisher comparison buildSAGEother—————kld:generalist_head 0.010153vs BF16L645 @ main
notnaurw/oQ5e-SAGE-PATHS-mtp generalist head-KL 0.014043 prose only [L197]publisher comparison buildSAGE-ARCSother—————kld:generalist_head 0.014043vs BF16L197 @ main
nova-quill/OBLITERATUS-OBLITERATED-unsloth-mlx earlier version, n=285 [L115]publisher comparison buildV1 (s51, aggressive)MLX—————MMLU 81.4%other or no referenceL115 @ main
nvidia/NVFP4 measured by juzbox[L35,L69,L84]nvidia/Qwen3.8-27B-NVFP4NVFP421.92download0.0362———BFCL v3 all (custom engine) 90.1%; BFCL parallel (custom engine) 79.0%vs BF16L35 @ main
nvidia/NVFP4 measured by gittensor-model-hubMeasured by this card's author on same box [L156-158]; AA-LCR value for NVIDIA not in candidates (text says all three 55 [L153 alt]); 95% CI overall [73.9-82.7] c18NVIDIA NVFP4NVFP421.00download————GPQA Diamond 76.8%; MMLU-Pro 83.0%; Overall (328) 78.7%reference not statedL162 @ main
nvidia/NVFP4 measured by Triodymeasured by card author [L109]nvidia/Qwen3.8-27B-NVFP4, SGLang's recipeNVFP4—————GSM8K_lenient 97.25%; GSM8K_strict 95.25%; HumanEval_lenient 90.85%; HumanEval_strict 86.59%vs BF16L109 @ main
nvidia/NVFP4 measured by armin1[L90]nvidia/Qwen3.8-27B-NVFP4NVFP4—0.024494.89%——kld_99 0.272vs BF16L90 @ main
nvidia/NVFP4 measured by armin1Measured by card author on same documents [L112]nvidia/Qwen3.8-27B-NVFP4NVFP4—0.024494.89%——kld_99 0.272vs BF16L112 @ main
NVIDIA NVFP4 release (repo link truncated on card digest; nvidia/Qwe...) measured by atakansMeasured by card author with same script [L25]NVFP4 (NVIDIA)NVFP422.55download0.039888.7%—1.029kld_99 0.348vs BF16L31 @ main
Omega-Factory/GGUF size approximate (~) [L33]publisher comparison buildFP16 BaselineGGUF58.00download————ARC-MC 94.5% (189/200); GSM8K 59.0% (118/200); MATH-500 23.0% (46/200)other or no referenceL33 @ main
oracomputing/OQ3-GGUF reference, retention 100% [L46]publisher comparison buildQwen3.8-27B (bf16)GGUF—————MMLU-Pro 76.71; AIME-25 95.83; Average 86.27other or no referenceL46 @ main
orcarouter/OrcaSAQ-2-27B reference row [L118]publisher comparison buildQwen3.8-27B BF16other54.00download—100%5.6468——vs BF16L118 @ main
OS-Software/Uncensored-Heretic-v2-GGUF KL 0 by definition [L33]publisher comparison buildOriginal Qwen/Qwen3.8-27B (reference)GGUF—0 *(by definition)*————other or no referenceL33 @ main
penkia/TernaryQuench-GGUF reference row measured with MLX [L60-61]publisher comparison buildQwen3.8-27B 4-bitGGUF—————ppl:wikitext2 7.7471; ppl_second_half:wikitext2 6.2370vs BF16L54 @ main
penkia/TernaryQuench-GGUF reference rows use native PyTorch [L79]publisher comparison buildQwen3.8-27B BF16GGUF—————PIQA 81.61; ARC-Easy 72.98; ARC-Challenge 58.87; HellaSwag 82.93; WinoGrande 75.37vs BF16L71 @ main
perplexity-ai/pplx-decider-v1-27b measured by AveLabsOriginal BF16 decider measured by card author on same items [L62-68]pplx-decider BF16 (decisions)—————WANLI 68.1%vs BF16L66 @ main
poisonxa/PXQN-OneCard [L107]publisher comparison buildClassic PXQ4 (our earlier format)other16.52download0.017696.0%——ppl:wikitext-2 6.816vs a Q8_0L107 @ main
poisonxa/PXQN-OneCard [L105]publisher comparison buildClassic PXQ3 (our earlier format, same size class)other12.66download0.203388.5%——ppl:wikitext-2 7.371vs a Q8_0L105 @ main
PollardWeights/Penjing-27B-Pollard f16 reference PPL 4.1422 [L64]; size 54.64 GB from prose headline [L26]publisher comparison buildf16 referenceother54.64download————ppl:wikitext2 PPL 4.1422._other or no referenceL26 @ main
prism-ml/Ternary-Bonsai-2-27B-gguf measured by oshitekuMeasured by card author with same prompts and settings [L66]Ternary Bonsai 2GGUF7.2download0.15389.1%——SWE-bench Verified Mini 60%vs BF16L70 @ main
prism-ml/Ternary-Bonsai-2-27B-gguf measured by dealignaiBase ternary quant measured by card author for comparison [L106]Base PQ2_0GGUF—————MMLU 40.53%other or no referenceL106 @ main
pugant/MTP-Q3_0_ROCMFPX control reproduced within sigma [L76]; PPL and delta share one cell [L80]publisher comparison buildSTRIX_LEAN Q4_0_ROCMFP4_STRIX_LEAN (baseline)GGUF14.84download————ppl:en 6.8226 (+2.74%); ppl:it 12.1168 (+3.42%); ppl_delta_pct:en 6.8226 (+2.74%); ppl_delta_pct:it 12.1168 (+3.42%)vs BF16L80 @ main
pugant/MTP-Q3_0_ROCMFPX historical reference values [L85]publisher comparison buildBF16 baselineGGUF—————ppl:en 6.6409; ppl:it 11.7156vs BF16L75 @ main
QTML/Security-Quark-MXFP4 BF16 -> MXFP4 KL 0.116; top-1 token flips 10% not mapped (flips, not agreement) [L119, L280]KL instrument differs from the 0.0151 figure [L128]publisher comparison buildBase Qwen3.8-27B MXFP4MXFP4—0.116————vs BF16L280 @ main
quark75/Q4_0.gguf reference perplexity [L26]publisher comparison buildBF16 originalGGUF———6.9508 +/- 0.0449——vs BF16L26 @ main
QUASAR-QAT/QUASAR-NVFP4 measured by juzboxengine uses NVIDIA NVFP4 lm_head for QUASAR in custom engine runs [L79-80]QUASAR-QAT/Qwen3.8-27B-QUASAR-NVFP4NVFP420.56download0.0475———BFCL v3 all (custom engine) 87.0%; BFCL parallel (custom engine) 65.5%vs BF16L35 @ main
QUASAR-QAT/QUASAR-NVFP4 measured by gittensor-model-hubMeasured by this card's author on same box [L156-158]; AIME 2025 cell not in candidates; 95% CI overall [75.5-84.1] c17QUASAR NVFP4NVFP419.70download————GPQA Diamond 78.8%; MMLU-Pro 84.0%; Overall (328) 80.2%; AA-LCR 55reference not statedL162 @ main
QUASAR-QAT/QUASAR-NVFP4 [L91]publisher comparison buildGPTQ NVFP4 (LLM Compressor, ours)NVFP4—————MRCR 61.3; MRCR 8-needle 35.5; HMMT'26 69.7; SuperGPQA 58.9; LiveCodeBench 77.9; RULER 32K 96.0; RULER 64K 95.4; RULER 128K 95.3vs BF16L91 @ main
QUASAR-QAT/QUASAR-NVFP4 [L92]publisher comparison buildRTN NVFP4 (LLM Compressor, ours)NVFP4—————MRCR 57.3; MRCR 8-needle 32.8; HMMT'26 66.9; SuperGPQA 58.6; LiveCodeBench 77.9; RULER 32K 96.2; RULER 64K 96.1; RULER 128K 95.3vs BF16L92 @ main
Qwen/Qwen3.8-27B measured by cloudnathan5BF16 base measured on same settings [L93,L98]Qwen/Qwen3.8-27B (BF16)55.60download————ppl:wikitext2 6.5574vs BF16L29 @ main
Qwen/Qwen3.8-27B measured by ThakiCloudReference measured by card author on same harness [L106, L141]Qwen/Qwen3.8-27B (bf16)55.59download————MMMU-val MC 0.8455vs BF16L36 @ main
Qwen/Qwen3.8-27B measured by ThakiCloudbf16 reference measured by card author [L106,L136]Earlier bf16 MMMU 0.4511 withdrawn as a broken measurement [L115]Qwen/Qwen3.8-27B (bf16)55.59download————MMMU-val MC 0.8455; HAERAE 0.7709; KoBEST 0.6770; belebele-ko 0.9000; ARC-Challenge 0.5700; IFEval prompt-strict 0.3050vs BF16L36 @ main
Qwen/Qwen3.8-27B measured by primitive-aireference row [L81]Qwen BF1655.51download————overall 89.3; knowledge 91.0; call 85.6; abstain 55.0vs BF16L81 @ main
Qwen/Qwen3.8-27B measured by kacaforyah16-bit reference [L34]Qwen3.8-27B 16-bit original54.70download———1.000x—other or no referenceL34 @ main
Qwen/Qwen3.8-27B measured by Ar3ntizPPL from 'original -> SUC1' column [L49]; repo not named on cardoriginal Qwen3.8-27B (BF16)53.79download——7.05——vs BF16L26 @ main
Qwen/Qwen3.8-27B measured by Capicua25xbf16 served by a cloud provider [L168]ref (bf16, cloud provider)—————GSM8K think flex 0.96; GSM8K think strict 0.82; GSM8K nothink flex 0.98; GSM8K nothink strict 0.98; IFEval inst 0.97; IFEval prompt 0.95; GPQA-Diamond 0.78; AIME'25 0.93; tau2-telecom 0.939; tau2-airline 0.760; tau2-retail 0.850; MMLU-Pro 0.804; Terminal-Bench hard 0.273vs BF16L173 @ main
Qwen/Qwen3.8-27B measured by ISTA-DASLabmeasured by card authors with same xhigh setting [L38]Base Model—————AIME 2025 100.00; GPQA Diamond 89.90other or no referenceL44 @ main
Qwen/Qwen3.8-27B measured by MiawTeamauthor-measured reference in same session [L152-153]Qwen3.8-27B base (bf16)—————MMLU 83.4; ARC-Challenge 58.9; HellaSwag 82.8; Winogrande 76.1; kld:first-token-vs-base 0other or no referenceL146 @ main
Qwen/Qwen3.8-27B measured by PilcothinkBase measured by card author [L60-63]Qwen3.8-27B—————MMLU 83.49%; GSM8K flexible 72.86%; GSM8K strict 70.36%other or no referenceL62 @ main
Qwen/Qwen3.8-27B measured by ProCreationsTeacher BF16 measured on same table [L42,L73]Original Qwen3.8 BF16—————ppl:wikitext2 6.5137; ARC-C 59.30; ARC-E 74.92; HellaSwag 82.15; Winogrande 75.14vs BF16L42 @ main
Qwen/Qwen3.8-27B measured by Triodybf16 reference measured by card author [L111]Qwen/Qwen3.8-27B bf16, no speculation—————GSM8K_lenient 97.75%; GSM8K_strict 96.75%; HumanEval_lenient 94.51%; HumanEval_strict 92.07%vs BF16L111 @ main
Qwen/Qwen3.8-27B measured by Zynerjiauthor-measured baseline [L111]pristine Qwen3.8-27B (before)—————MMLU-val 0.812other or no referenceL111 @ main
Qwen/Qwen3.8-27B quoted by acyildirimer, not measuredreference row [L80]Qwen/Qwen3.8-27B (BF16)NVFP4—————MMLU 85.3; ARC-C 96.8; HellaSwag 94.3; GSM8K 97.4; HumanEval 93.9; 4-task mean 93.5vs BF16L80 @ main
Qwen/Qwen3.8-27B measured by amdauthor-measured reference [L36]BF16 base———8.4364 ppl:wikitext—GSM8K-thinking-flexible 93.33; GSM8K-thinking-strict 93.33; GSM8K-nothink-flexible 90.67; GSM8K-nothink-strict 89.76vs BF16L29 @ main
Qwen/Qwen3.8-27B measured by cloudnathan5Reference row, same settings [L94, L99]Qwen/Qwen3.8-27B (BF16)—————ppl:wikitext-2 6.5574vs BF16L99 @ main
Qwen/Qwen3.8-27B measured by huginnforkBaseline row [L68]Qwen/Qwen3.8-27B (bf16 baseline)———6.9416—kld:weight_only 0vs BF16L68 @ main
Qwen/Qwen3.8-27B quoted by intel-ai, not measuredupstream-reported BF16 table, not re-run on this stack [L99, L276]BF16 Qwen/Qwen3.8-27BMXFP8—————gsm8k_strict 0.9742; mmlu 0.8340; piqa_acc 0.8096; hellaswag_acc 0.6369; AVG 0.8137vs BF16L105 @ main
Qwen/Qwen3.8-27B quoted by intel-ai, not measuredupstream-reported table, not a re-run on this stack [L247,L113]BF16 baselineMXFP8—————mmlu 0.8340vs BF16L113 @ main
Qwen/Qwen3.8-27B measured by kirillbilchenkoReference row, measured by card author [L140, L179]BF16 source—————ppl:wikitext2_prompt 7.980864vs BF16L140 @ main
Qwen/Qwen3.8-27B quoted by lackonendes, not measuredPublisher numbers, not run by card author [L57-58]BF16 Base (published)GGUF—————AIME 2026 98.13; GPQA-Diamond 89.93; MMLU-Pro 85.54; LiveCodeBench v6 91.14; IFBench 79.75vs BF16L62 @ main
Qwen/Qwen3.8-27B measured by malaiwahBF16 reference for the MMLU-Pro pairing [L741]Qwen/Qwen3.8-27B BF16—————MMLU-Pro 57/70 (81.4 %)vs BF16L741 @ main
Qwen/Qwen3.8-27B quoted by neroued, not measuredcopied from upstream card; sampling settings and IFBench level not stated, not same-protocol [L321-323]Official Qwen3.8-27B BF16NVFP4—————GPQA-Diamond 89.2; ERQA 65.5; RealWorldQA 85.9vs BF16L310 @ main
Qwen/Qwen3.8-27B measured by nova-quillmeasured by card author, n=2,850, stderr +/-0.65 [L114]Stock Qwen3.8-27B—————MMLU 84.60%other or no referenceL114 @ main
Qwen/Qwen3.8-27B quoted by philbert440, not measuredofficial base-model BF16 benchmarks copied from Qwen card; not re-measured on this checkpoint [L90-92]Qwen3.6-27B comparison column omittedQwen3.8-27B (BF16 base)AWQ—————Terminal Bench 2.1 73.0; SWE-bench Pro 53.5; GPQA Diamond 89.2; HLE 30.8; LiveCodeBench v6 83.9; IFBench 69.1; OmniDocBench 1.5 91.1; RealWorldQA 85.9; ERQA 65.5; OSWorld-Verified 63.9reference not statedL96 @ main
Qwen/Qwen3.8-27B measured by quark75[L30]BF16 original———7.002——vs BF16L30 @ main
Qwen/Qwen3.8-27B quoted by stosc, not measuredTaken from upstream card; sampling settings and IFBench metric level not declared there, so not a same-protocol comparison [L273]Official Qwen3.8-27B BF16NVFP4—————IFBench 79.5; GPQA-Diamond 89.2; ERQA 65.5; RealWorldQA 85.9vs BF16L264 @ main
Qwen/Qwen3.8-27B quoted by sunnyyy, not measuredfrom upstream model card; sampling and IFBench level not stated, not same-protocol [L198-200]upstream reports no AIME [L202]Official Qwen3.8-27B BF16other—————GPQA-Diamond 89.2; ERQA 65.5; RealWorldQA 85.9vs BF16L187 @ main
Qwen/Qwen3.8-27B quoted by sunnyyy, not measuredcopied from upstream card; not a same-protocol comparison; upstream reports no AIME [L284-288]Official Qwen3.8-27B BF16NVFP4—————GPQA-Diamond 89.2; ERQA 65.5; RealWorldQA 85.9other or no referenceL273 @ main
Qwen/Qwen3.8-27B quoted by vrfai, not measuredPublished Qwen figures for bf16 weights [L75-76]; base-card benchmark tables below L155 were not measured on this quantQwen cardFP8—————MathVision 90.0; ERQA 65.5vs BF16L75 @ main
Qwen/Qwen3.8-27B quoted by vrfai, not measuredfigures copied from Qwen card [L75-76]Tables from L351 onward are base-model bf16 results reproduced verbatim, not measured on this checkpoint [L155-159]; omittedQwen card (published bf16 figures)FP8—————MathVision 90.0; ERQA 65.5vs BF16L75 @ main
Qwen/Qwen3.8-27B quoted by vrfai, not measuredQwen published figures shown beside own measurements [L79-85]; the base-card VL table (L357-370) is reproduced verbatim from Qwen and not measured on this quant [L161-165]Qwen3.8-27B (Qwen card published)NVFP4—————MathVision 90.0; ERQA 65.5vs BF16L81 @ main
Qwen/Qwen3.8-27B quoted by wiklif, not measuredQwen-published figures; token budget and LCB window not stated by Qwen [L99-100]Qwen card (BF16)GGUF—————GPQA Diamond 89.2; IFBench 79.5; LiveCodeBench v6 90.3vs a Q8_0L67 @ main
Qwen/FP8 measured by TelperionAIofficial FP8 release as reference; card excludes it from comparison [L60]Qwen/Qwen3.8-27B-FP8 (8-bit ref)FP830.90download—96.15%———vs BF16L54 @ main
Qwen/FP8 measured by TelperionAI8-bit reference [L58]Qwen/Qwen3.8-27B-FP8FP830.90download—96.15%——near-tie disagree 22.70%; moderate disagree 3.48%; confident disagree 1.45%; certain disagree 0.08%; divmed 47vs BF16L58 @ main
Qwen/FP8 measured by TelperionAIreference at different precision [L56,L62]Qwen/Qwen3.8-27B-FP8 (8-bit ref)FP830.90download—96.15%——divmed 47vs BF16L56 @ main
Qwen/FP8 measured by TelperionAI[L56]Qwen/Qwen3.8-27B-FP8 (8-bit ref)FP830.90download—96.15%———vs BF16L56 @ main
Qwen/FP8 measured by TelperionAIreference at different precision, excluded from comparison [L62]Qwen/Qwen3.8-27B-FP8 (8-bit ref)FP830.90download—96.15%———vs BF16L56 @ main
Qwen/FP8 measured by luedmeasured by card author; FP8 weights dequantized to BF16 in HF path [L187]size is weight files [L90]Official Qwen FP8 / BF16 A16FP830.87download0.00439698.53%———vs BF16L90 @ main
Qwen/FP8 measured by shisa-aiMeasured locally by card author at revision 017b9c7a; median KLD c11 [L56]Qwen3.8-27B-FP8 (official)FP830.87download0.00518996.93%——kld_99 0.052687vs BF16L56 @ main
Qwen/FP8 measured by malaiwahshard-0 [L460]official FP8 (shard-0 replay)FP830.61resident0.00519796.92 %———vs BF16L460 @ main
Qwen/FP8 measured by malaiwahMMLU-Pro 56/70 [L745]v3 value c62 0.013126 on v3 suite [L395]Qwen/Qwen3.8-27B-FP8FP830.61resident0.00529496.79 %——kld:v4 0.005891; top1:v4 96.72 %; MMLU-Pro 56/70 (80.0 %); kld:shard0 0.005197; top1:shard0 96.92 %; kld:v3 0.013126vs BF16L237 @ main
Qwen/FP8 measured by malaiwah[L323]Qwen/Qwen3.8-27B-FP8 v5 10MFP830.61resident0.00529496.79 %———other or no referenceL323 @ main
Qwen/FP8 measured by malaiwah[L500]official FP8 vLLM shard0FP830.61resident0.00519796.92 %———other or no referenceL500 @ main
Qwen/FP8 measured by malaiwah[L781]Qwen/Qwen3.8-27B-FP8 v3 136-contextFP830.61resident0.01312696.22 %———other or no referenceL781 @ main
Qwen/FP8 measured by Capicua25xAA-LCR cell holds two seeds (s1234 / s99) [L176]FP8 repo named at L73B FP8 @ fp8 KVFP8—————GSM8K think flex 0.98; GSM8K think strict 0.86; IFEval inst 0.98; IFEval prompt 0.98; GPQA-Diamond 0.85; AIME'25 0.97; tau2-telecom 0.94; tau2-airline 0.86; tau2-retail 0.82; MMLU-Pro 0.817; Terminal-Bench hard 0.341vs BF16L173 @ main
Qwen/FP8 measured by Freaksterzrepo named in prose [L10]; measured on same harness [L30]Qwen official FP8 (block-128)FP8—0.0058496.9%———vs BF16L30 @ main
Qwen/FP8 measured by armin1[L88,L100]Qwen/Qwen3.8-27B-FP8FP8—0.003498.22%——kld_99 0.037; GSM8K 95.98%vs BF16L88 @ main
Qwen/FP8 measured by dancinlabMeasured by card author with same scripts [L222]Base FP8FP8—————MMLU 84.3%; MMLU-Pro 77.6%; GSM8K 90.0%; CMMLU 81.4%other or no referenceL225 @ main
Qwen/FP8 measured by gubernac[L65,L159]Base FP8FP8—————MMLU 84.3%; MMLU-Pro 77.6%; GSM8K 90.0%; CMMLU 81.4%other or no referenceL208 @ main
Qwen/FP8 measured by huginnforkHand-dequantised to evaluate on same harness [L125-128]407 modules quantised [L69]Qwen/Qwen3.8-27B-FP8 (official)FP8———6.9539+0.18 %kld:weight_only 0.0523; kld:as_deployed 0.1001vs BF16L69 @ main
Qwen/FP8 measured by huginnforkmean_kld is weight-only column, kld_as_deployed is the other column; official checkpoint hand-dequantised for evaluation [L125-128]407 modules quantised [L69]Qwen/Qwen3.8-27B-FP8FP8—0.0523—6.9539+0.18 %kld_as_deployed 0.1001vs BF16L69 @ main
Qwen/FP8 measured by malaiwah[L856]Qwen/Qwen3.8-27B-FP8 v4 36-contextFP8—0.00589196.72 %———other or no referenceL856 @ main
Qwen (link truncated in prompt) measured by primitive-ai[L82]Qwen FP8FP830.82download————overall 89.6; knowledge 91.4; call 85.0; abstain 55.0vs BF16L82 @ main
Qwen FP8 release (repo link truncated on card digest) measured by atakansMeasured by card author with same script [L25]FP8 (Qwen)FP831.14download0.004696.5%—1.002kld_99 0.045vs BF16L29 @ main
RadixArk/NVFP4 measured by shisa-aiMeasured locally at revision 52d1adc5; median KLD c26; two captures agreed within 3.3e-5 mean KLD [L59, L62]RadixArk/Qwen3.8-27B-NVFP4NVFP421.93download0.04198591.55%——kld_99 0.465240vs BF16L59 @ main
RadixArk/NVFP4 measured by TelperionAI[L58]RadixArk/Qwen3.8-27B-NVFP4NVFP421.90download—90.23%——divmed 11vs BF16L58 @ main
RadixArk/NVFP4 measured by TelperionAIRadixArk/Qwen3.8-27B-NVFP4NVFP421.90download—90.23%———vs BF16L58 @ main
RadixArk/NVFP4 measured by armin1[L92]RadixArk/Qwen3.8-27B-NVFP4NVFP4—0.030194.41%——kld_99 0.330vs BF16L92 @ main
RadixArk/NVFP4-BF16-LMHead measured by TelperionAIRTN, identical precision map [L59,L93-95]RadixArk/Qwen3.8-27B-NVFP4-BF16-LMHeadNVFP423.80download—91.06%———vs BF16L59 @ main
RadixArk/NVFP4-BF16-LMHead measured by armin1[L91,L98]RadixArk/Qwen3.8-27B-NVFP4-BF16-LMHeadNVFP4—0.024595.36%——kld_99 0.302; GSM8K 96.21%vs BF16L91 @ main
RadixArk/NVFP4-BF16-LMHead measured by armin1Measured by card author [L113, L122]RadixArk/Qwen3.8-27B-NVFP4-BF16-LMHeadNVFP4—0.024595.36%——kld_99 0.302; GSM8K 96.21%vs BF16L113 @ main
rapid-mlx/mixed-3.5bpw-MLX identical-subset comparison, 95% CI about +-7 points at n=200 [L118-121]publisher comparison buildbf16 (subset)MLX51.00download————MMLU-Pro (n=200) 59.5; GSM8K (n=60) 90.0; MMBench-EN (n=150) 88.0other or no referenceL125 @ main
rapid-mlx/mixed-3.5bpw-MLX identical-subset comparison [L123-127]publisher comparison build4-bit (subset)MLX16.00download————MMLU-Pro (n=200) 61.5; GSM8K (n=60) 98.3; MMBench-EN (n=150) 92.0other or no referenceL125 @ main
rdtand/PrismaAQUA-gridbook-13GB-5080-vllm measured through same tool, corpus, seqlen [L356-359]publisher comparison buildBF16 referenceother—————ppl:wikitext2 9.365vs BF16L328 @ main
rdtand/PrismaScout-AQUA-Vision-20GB reference PPL [L119]publisher comparison buildBF16 sourceother———9.366213045——vs BF16L119 @ main
rdtand/PrismaScout-AQUA-Vision-20GB sibling rdtand/Qwen3.8-27B-PrismaScout-AQUA-20GB [L154,L161,L431]Qwen3.6 PrismaScout figures (0.0779318074 KL) are a different model, omitted [L138-139]publisher comparison buildPrismaScout-AQUA-20GB (visionless sibling)other—0.0402201669————vs BF16L154 @ main
rdtand (link truncated in prompt) measured by primitive-ai[L83]rdtand PrismaAQUA 5.5bit23.62download————overall 89.4; knowledge 91.2; call 85.6; abstain 52.5vs BF16L83 @ main
RedHatAI/NVFP4 quoted by mlx-bun, not measuredBaselines from Red Hat's published evaluation, linked at the RedHatAI/Qwen3.8-27B-NVFP4 evaluation section [L111]; approx BF16 size 54 GB from prose [L67]BF16 baseMLX54.00download————GSM8K-Platinum_strict 96.25%; GPQA Diamond 89.56%vs BF16L67 @ main
RukaRat/INT8-W8A8-imatrix-heretic-MTP same battery, same box [L43-47]refusal rates harmful 96% off c22, 94% on c23 [L68]publisher comparison buildINT8 W8A8 (unmodified)INT831.25download————quality/160 132other or no referenceL47 @ main
RukaRat/INT8-W8A8-imatrix-heretic-MTP [L51]publisher comparison buildW4A16 plain, abliteratedINT819.43download————quality/160 135other or no referenceL51 @ main
RukaRat/INT8-W8A8-imatrix-heretic-MTP [L49]publisher comparison buildW4A16 + int8 headINT817.82download————quality/160 131other or no referenceL49 @ main
RukaRat/INT8-W8A8-imatrix-heretic-MTP [L50]publisher comparison buildW4A16 + int8 head, abliteratedINT817.82download————quality/160 134other or no referenceL50 @ main
RukaRat/W4A16-imatrix-heretic-int8head-MTP Size 18.1 GiB c21 [L179]; L60 table shows 131/160 c1.0 for this build in an earlier comparison, conflicts with 135 here, not reconciledpublisher comparison buildW4A16 plain, abliteratedINT8—————five_task_battery_correct_of_160 135other or no referenceL219 @ main
RukaRat/W4A16-imatrix-heretic-int8head-MTP Size 16.6 GiB c15 [L177]publisher comparison buildW4A16 + int8 head (non-abliterated)INT8—————five_task_battery_correct_of_160 131other or no referenceL217 @ main
RukaRat/W4A16-imatrix-heretic-int8head-MTP MTP accept think not available (dash) [L220]publisher comparison buildW4A16 plainINT8—————five_task_battery_correct_of_160 131other or no referenceL220 @ main
RukaRat/W4A16-imatrix-heretic-int8head-MTP Size 29.1 GiB c10 [L175]publisher comparison buildINT8 W8A8INT8—————five_task_battery_correct_of_160 132other or no referenceL215 @ main
RukaRat/W4A16-imatrix-heretic-int8head-MTP Size 29.1 GiB c13 [L176]publisher comparison buildINT8 W8A8, abliteratedINT8—————five_task_battery_correct_of_160 130other or no referenceL216 @ main
sakamakismile/MTP-NVFP4 measured by malaiwahshard-0 [L465]sakamakismile/Qwen3.8-27B-MTP-NVFP4NVFP420.56download0.15128084.74 %———vs BF16L465 @ main
sakamakismile/MTP-NVFP4 measured by malaiwahshard-0 [L474]sakamakismile/Qwen3.8-27B-MTP-NVFP4NVFP420.56download0.15128084.74 %———vs BF16L474 @ main
sakamakismile/MTP-NVFP4 measured by malaiwah[L505]sakamakismile/Qwen3.8-27B-MTP-NVFP4 shard0NVFP420.56download0.15128084.74 %———other or no referenceL505 @ main
sammyblues/IQ2_XS-GGUF Layer-pruned negative experiment, not published [L124-129]publisher comparison build48L IQ2_XS experimentGGUF7.1download————ppl:wikitext2 144,585.2858; HellaSwag-100 22%vs BF16L109 @ main
sammyblues/IQ2_XS-GGUF Layer-pruned negative experiment, not published [L124-129]publisher comparison build40L IQ2_XS experimentGGUF6.2download————ppl:wikitext2 8,201.4746; HellaSwag-100 26%vs BF16L110 @ main
shisa-ai/FP8-BLOCK Publisher's own comparison build; median KLD c16 [L57]publisher comparison buildQwen3.8-27B-FP8-BLOCK-GDN8 (official-policy clone)FP830.87download0.00525396.86%——kld_99 0.053828vs BF16L57 @ main
SmokeyPete/Heretic-NVFP4-DGX-Spark reference is the abliterated BF16, not original Qwen [L108]first-token KL 0.061 on harmless prompts is for the abliteration edit, not the quant [L200]publisher comparison buildBF16 (abliterated, pre-quantization)NVFP4—————GSM8K 97.12%; HumanEval+ 92.07%vs BF16L112 @ main
soyrsoyr/W4A16-AWQ-GPTQ reference scored in same run [L102]publisher comparison buildQwen3.8-27B bf16 baseAWQ—————OpenLLM v1 average 65.20; Reasoning average 90.11vs BF16L81 @ main
staccs/lecore-GGUF numbers measured on the companion MLX export, not the GGUF [L42,L10]subsets, expect about 2-4 points sampling noise [L38]publisher comparison buildleCore MLX exportGGUF—————MMLU-5shot 84.9%; GSM8K-strict 91.0%; GSM8K-flexible 89.0%reference not statedL42 @ main
staccs/lecore-GGUF simulated comparison build, same subsets [L43]publisher comparison buildstock 3-bit affine, group 64 (simulated)GGUF—————MMLU-5shot 81.4%; GSM8K-strict 60.0%; GSM8K-flexible 62.0%reference not statedL43 @ main
staccs/lecore-mlx Benchmark row is labelled 'simulated' [L39]publisher comparison buildstock MLX 3-bit, group 64MLX11.77text weights (excl. vision, MTP)————ppl:wikitext2 9.2464; ppl:python-code 3.5006; MMLU 5-shot 81.4%; GSM8K strict 60.0%; GSM8K flexible 62.0%vs BF16L31 @ main
staccs/lecore-mlx publisher comparison buildbf16 referenceMLX—————ppl:wikitext2 7.8880; ppl:python-code 2.5651vs BF16L29 @ main
tcclaviger/RFI8-AA reference row [L37]publisher comparison buildBF16 originalother———6.9224——vs BF16L37 @ main
TelperionAI/EXL3-4.0bpw publisher's own comparison build [L29]publisher comparison buildTelperionAI INT4-AWQ-GPTQ (vLLM)EXL325.10download—96.30%———vs BF16L29 @ main
TelperionAI/EXL3-4.0bpw publisher's own comparison build [L33]publisher comparison buildTelperionAI NVFP4 (vLLM)EXL324.70download—93.62%———vs BF16L33 @ main
TelperionAI/EXL3-4.0bpw sibling checkpoint in series [L30]publisher comparison buildEXL3 6.5 bpwEXL323.00download—97.10%———vs BF16L30 @ main
TelperionAI/EXL3-4.0bpw sibling checkpoint in series [L31]publisher comparison buildEXL3 5.5 bpwEXL320.00download—96.12%———vs BF16L31 @ main
TelperionAI/EXL3-4.0bpw [L35]publisher comparison buildEXL3 4.0 bpw, no AWQ pre-passEXL316.00download—93.17%———vs BF16L35 @ main
TelperionAI/EXL3-4.0bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI FP8-block-AWQEXL330.00download—96.22%———vs BF16L44 @ main
TelperionAI/EXL3-4.0bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI INT4-AWQ-GPTQEXL325.10download—96.30%———vs BF16L45 @ main
TelperionAI/EXL3-4.0bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI NVFP4 (mixed)EXL324.70download—93.62%———vs BF16L51 @ main
TelperionAI/EXL3-4.0bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI NVFP4 (full)EXL324.70download—93.05%———vs BF16L52 @ main
TelperionAI/EXL3-4.0bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI EXL3 6.5bpw (v1)EXL323.00download—97.10%———vs BF16L50 @ main
TelperionAI/EXL3-4.0bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI EXL3 5.5bpw-v2EXL320.00download—96.26%———vs BF16L46 @ main
TelperionAI/EXL3-4.0bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI EXL3 5.5bpw (v1)EXL320.00download—96.12%———vs BF16L49 @ main
TelperionAI/EXL3-4.0bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI EXL3 4.0bpw (v1)EXL316.00download—93.82%———vs BF16L48 @ main
TelperionAI/EXL3-5.5bpw publisher's own comparison build [L29]publisher comparison buildTelperionAI INT4-AWQ-GPTQ (vLLM)EXL325.10download—96.30%———vs BF16L29 @ main
TelperionAI/EXL3-5.5bpw publisher's own comparison build [L33]publisher comparison buildTelperionAI NVFP4 (vLLM)EXL324.70download—93.62%———vs BF16L33 @ main
TelperionAI/EXL3-5.5bpw sibling checkpoint in series [L30]publisher comparison buildEXL3 6.5 bpwEXL323.00download—97.10%———vs BF16L30 @ main
TelperionAI/EXL3-5.5bpw sibling checkpoint in series [L34]publisher comparison buildEXL3 4.0 bpwEXL316.00download—93.82%———vs BF16L34 @ main
TelperionAI/EXL3-5.5bpw [L35]publisher comparison buildEXL3 4.0 bpw, no AWQ pre-passEXL316.00download—93.17%———vs BF16L35 @ main
TelperionAI/EXL3-5.5bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI FP8-block-AWQEXL330.00download—96.22%———vs BF16L44 @ main
TelperionAI/EXL3-5.5bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI INT4-AWQ-GPTQEXL325.10download—96.30%———vs BF16L45 @ main
TelperionAI/EXL3-5.5bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI NVFP4 (mixed)EXL324.70download—93.62%———vs BF16L51 @ main
TelperionAI/EXL3-5.5bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI NVFP4 (full)EXL324.70download—93.05%———vs BF16L52 @ main
TelperionAI/EXL3-5.5bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI EXL3 6.5bpw (v1)EXL323.00download—97.10%———vs BF16L50 @ main
TelperionAI/EXL3-5.5bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI EXL3 5.5bpw (v1)EXL320.00download—96.12%———vs BF16L49 @ main
TelperionAI/EXL3-5.5bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI EXL3 4.0bpw-v2EXL316.00download—95.16%———vs BF16L46 @ main
TelperionAI/EXL3-5.5bpw-v2 disagreement vs BF16 base by confidence bucket; 'confident' is the pre-registered decider [L35-38]publisher comparison buildTelperionAI EXL3 4.0bpw (v1)EXL316.00download—93.82%———vs BF16L48 @ main
TelperionAI/EXL3-6.5bpw publisher's own comparison build [L29]publisher comparison buildTelperionAI INT4-AWQ-GPTQ (vLLM)EXL325.10download—96.30%———vs BF16L29 @ main
TelperionAI/EXL3-6.5bpw publisher's own comparison build [L33]publisher comparison buildTelperionAI NVFP4 (vLLM)EXL324.70download—93.62%———vs BF16L33 @ main
TelperionAI/EXL3-6.5bpw sibling checkpoint in series [L31]publisher comparison buildEXL3 5.5 bpwEXL320.00download—96.12%———vs BF16L31 @ main
TelperionAI/EXL3-6.5bpw sibling checkpoint in series [L34]publisher comparison buildEXL3 4.0 bpwEXL316.00download—93.82%———vs BF16L34 @ main
TelperionAI/EXL3-6.5bpw [L35]publisher comparison buildEXL3 4.0 bpw, no AWQ pre-passEXL316.00download—93.17%———vs BF16L35 @ main
TelperionAI/FP8-block-AWQ [L31]publisher comparison buildTelperionAI INT4-AWQ-GPTQAWQ25.10unknown—96.30%———vs BF16L31 @ main
TelperionAI/FP8-block-AWQ [L35]publisher comparison buildTelperionAI NVFP4AWQ24.70unknown—93.62%———vs BF16L35 @ main
TelperionAI/FP8-block-AWQ [L32]publisher comparison buildTelperionAI EXL3 6.5 bpw + AWQAWQ23.00unknown—97.10%———vs BF16L32 @ main
TelperionAI/FP8-block-AWQ [L33]publisher comparison buildTelperionAI EXL3 5.5 bpw + AWQAWQ20.00unknown—96.12%———vs BF16L33 @ main
TelperionAI/INT4-AWQ-GPTQ repo not named on cardpublisher comparison buildour NVFP4 build (AWQ+AutoRound)AWQ24.70download—93.38%———vs BF16L57 @ main
TelperionAI/INT4-AWQ-GPTQ-gdn4 [L60]publisher comparison buildour GDN 8-bit sibling (Qwen3.8-27B-INT4-AWQ-GPTQ)AWQ25.10download—96.30%——near-tie disagree 22.29%; moderate disagree 3.52%; confident disagree 0.93%; certain disagree 0.09%; divmed 48vs BF16L60 @ main
TelperionAI/NVFP4-AWQ-AutoRound-allfp4 [L58]publisher comparison buildsibling with FP8 MLP 56-63NVFP424.70download—93.38%———vs BF16L58 @ main
ThakiCloud/NVFP4-FP8ATTN GSM8K delta vs bf16 -5.50pp, p 0.056 [L91]publisher comparison buildour pure NVFP4 (MLP only, GPTQ-txt)NVFP430.14download————MMMU-val MC 0.8922vs BF16L44 @ main
ThakiCloud/W4A16-AWQ same model, same target size [L13-L14]publisher comparison buildGPTQ siblingAWQ—————GSM8K_en_strict 0.5133; GSM8K_en_flexible 0.5641; GSM8K_ko_strict 0.5686; GSM8K_ko_flexible 0.6505vs BF16L26 @ main
ThakiCloud/W4A16-AWQ unquantized reference [L25]publisher comparison buildbf16AWQ—————GSM8K_en_strict 0.5542; GSM8K_en_flexible 0.5550; GSM8K_ko_strict 0.6149; GSM8K_ko_flexible 0.6315vs BF16L25 @ main
thederby/oQ4e-fp16-mtp reference model [L34]publisher comparison buildoriginal bf16other56.00download0100%10.20——vs BF16L34 @ main
thederby/oQ4e-fp16-mtp [L33]publisher comparison buildoQ8e fp16other30.90download0.000798.4%10.20——vs BF16L33 @ main
thederby/oQ4e-fp16-mtp [L32]publisher comparison buildoQ8e bf16other30.00download0.001098.6%10.21——vs BF16L32 @ main
thederby/oQ4e-fp16-mtp [L31]publisher comparison buildoQ6e fp16other24.60download0.002897.1%10.22——vs BF16L31 @ main
thederby/oQ4e-fp16-mtp [L30]publisher comparison buildoQ6e bf16other23.70download0.003397.2%10.23——vs BF16L30 @ main
thederby/oQ4e-fp16-mtp [L29]publisher comparison buildoQ5e fp16other21.20download0.010394.9%10.28——vs BF16L29 @ main
thederby/oQ4e-fp16-mtp [L28]publisher comparison buildoQ5e bf16other20.30download0.010694.9%10.28——vs BF16L28 @ main
thederby/oQ4e-fp16-mtp [L26]publisher comparison buildoQ4e bf16other17.00download0.035890.6%10.47——vs BF16L26 @ main
thederby/oQ4e-mtp reference row [L34]publisher comparison buildoriginal bf16other56.00download0100%10.20——vs BF16L34 @ main
thederby/oQ4e-mtp [L33]publisher comparison buildoQ8e fp16other30.90download0.000798.4%10.20——vs BF16L33 @ main
thederby/oQ4e-mtp [L32]publisher comparison buildoQ8e bf16other30.00download0.001098.6%10.21——vs BF16L32 @ main
thederby/oQ4e-mtp [L31]publisher comparison buildoQ6e fp16other24.60download0.002897.1%10.22——vs BF16L31 @ main
thederby/oQ4e-mtp [L30]publisher comparison buildoQ6e bf16other23.70download0.003397.2%10.23——vs BF16L30 @ main
thederby/oQ4e-mtp [L29]publisher comparison buildoQ5e fp16other21.20download0.010394.9%10.28——vs BF16L29 @ main
thederby/oQ4e-mtp [L28]publisher comparison buildoQ5e bf16other20.30download0.010694.9%10.28——vs BF16L28 @ main
thederby/oQ4e-mtp [L27]; vision tower float32 [L39]publisher comparison buildoQ4e fp16other17.90download0.035190.5%10.47——vs BF16L27 @ main
thederby/oQ5e-fp16-mtp reference row [L34]publisher comparison buildoriginal bf16other56.00download——10.20——vs BF16L34 @ main
thederby/oQ5e-fp16-mtp [L33]publisher comparison buildoQ8e fp16other30.90download0.000798.4%10.20——vs BF16L33 @ main
thederby/oQ5e-fp16-mtp [L32]publisher comparison buildoQ8e bf16other30.00download0.001098.6%10.21——vs BF16L32 @ main
thederby/oQ5e-fp16-mtp [L31]publisher comparison buildoQ6e fp16other24.60download0.002897.1%10.22——vs BF16L31 @ main
thederby/oQ5e-fp16-mtp [L30]publisher comparison buildoQ6e bf16other23.70download0.003397.2%10.23——vs BF16L30 @ main
thederby/oQ5e-fp16-mtp [L28]publisher comparison buildoQ5e bf16other20.30download0.010694.9%10.28——vs BF16L28 @ main
thederby/oQ5e-fp16-mtp [L27]publisher comparison buildoQ4e fp16other17.90download0.035190.5%10.47——vs BF16L27 @ main
thederby/oQ5e-fp16-mtp [L26]publisher comparison buildoQ4e bf16other17.00download0.035890.6%10.47——vs BF16L26 @ main
thederby/oQ5e-mtp reference row [L34]publisher comparison buildoriginal bf16other56.00download0100%10.20——vs BF16L34 @ main
thederby/oQ5e-mtp publisher comparison buildoQ8e fp16other30.90download0.000798.4%10.20——vs BF16L33 @ main
thederby/oQ5e-mtp publisher comparison buildoQ8e bf16other30.00download0.001098.6%10.21——vs BF16L32 @ main
thederby/oQ5e-mtp publisher comparison buildoQ6e fp16other24.60download0.002897.1%10.22——vs BF16L31 @ main
thederby/oQ5e-mtp publisher comparison buildoQ6e bf16other23.70download0.003397.2%10.23——vs BF16L30 @ main
thederby/oQ5e-mtp ~0.9 GB larger, vision tower in float32 [L38-39]publisher comparison buildoQ5e fp16other21.20download0.010394.9%10.28——vs BF16L29 @ main
thederby/oQ5e-mtp publisher comparison buildoQ4e fp16other17.90download0.035190.5%10.47——vs BF16L27 @ main
thederby/oQ5e-mtp publisher comparison buildoQ4e bf16other17.00download0.035890.6%10.47——vs BF16L26 @ main
thederby/oQ6e-fp16-mtp reference row [L34]publisher comparison buildoriginal bf16other56.00download0100%10.20——vs BF16L34 @ main
thederby/oQ6e-fp16-mtp publisher comparison buildoQ8e fp16other30.90download0.000798.4%10.20——vs BF16L33 @ main
thederby/oQ6e-fp16-mtp publisher comparison buildoQ8e bf16other30.00download0.001098.6%10.21——vs BF16L32 @ main
thederby/oQ6e-fp16-mtp publisher comparison buildoQ6e bf16other23.70download0.003397.2%10.23——vs BF16L30 @ main
thederby/oQ6e-fp16-mtp publisher comparison buildoQ5e fp16other21.20download0.010394.9%10.28——vs BF16L29 @ main
thederby/oQ6e-fp16-mtp publisher comparison buildoQ5e bf16other20.30download0.010694.9%10.28——vs BF16L28 @ main
thederby/oQ6e-fp16-mtp fp16 variants ~0.9 GB larger, vision tower kept float32 [L39]publisher comparison buildoQ4e fp16other17.90download0.035190.5%10.47——vs BF16L27 @ main
thederby/oQ6e-fp16-mtp publisher comparison buildoQ4e bf16other17.00download0.035890.6%10.47——vs BF16L26 @ main
thederby/oQ6e-mtp reference row [L34]publisher comparison buildoriginal bf16other56.00download——10.20——vs BF16L34 @ main
thederby/oQ6e-mtp publisher comparison buildoQ8e fp16other30.90download0.000798.4%10.20——vs BF16L33 @ main
thederby/oQ6e-mtp publisher comparison buildoQ8e bf16other30.00download0.001098.6%10.21——vs BF16L32 @ main
thederby/oQ6e-mtp vision tower kept float32, about 0.9 GB larger [L38-39]publisher comparison buildoQ6e fp16other24.60download0.002897.1%10.22——vs BF16L31 @ main
thederby/oQ6e-mtp publisher comparison buildoQ5e fp16other21.20download0.010394.9%10.28——vs BF16L29 @ main
thederby/oQ6e-mtp publisher comparison buildoQ5e bf16other20.30download0.010694.9%10.28——vs BF16L28 @ main
thederby/oQ6e-mtp publisher comparison buildoQ4e fp16other17.90download0.035190.5%10.47——vs BF16L27 @ main
thederby/oQ6e-mtp publisher comparison buildoQ4e bf16other17.00download0.035890.6%10.47——vs BF16L26 @ main
thederby/oQ8e-fp16-mtp reference row [L34]publisher comparison buildoriginal bf16other56.00download0100%10.20——vs BF16L34 @ main
thederby/oQ8e-fp16-mtp [L32]publisher comparison buildoQ8e bf16other30.00download0.001098.6%10.21——vs BF16L32 @ main
thederby/oQ8e-fp16-mtp [L31]publisher comparison buildoQ6e fp16other24.60download0.002897.1%10.22——vs BF16L31 @ main
thederby/oQ8e-fp16-mtp [L30]publisher comparison buildoQ6e bf16other23.70download0.003397.2%10.23——vs BF16L30 @ main
thederby/oQ8e-fp16-mtp [L29]publisher comparison buildoQ5e fp16other21.20download0.010394.9%10.28——vs BF16L29 @ main
thederby/oQ8e-fp16-mtp [L28]publisher comparison buildoQ5e bf16other20.30download0.010694.9%10.28——vs BF16L28 @ main
thederby/oQ8e-fp16-mtp [L27]publisher comparison buildoQ4e fp16other17.90download0.035190.5%10.47——vs BF16L27 @ main
thederby/oQ8e-fp16-mtp [L26]publisher comparison buildoQ4e bf16other17.00download0.035890.6%10.47——vs BF16L26 @ main
thederby/oQ8e-mtp reference rowpublisher comparison buildoriginal bf16other56.00download0100%10.20——vs BF16L34 @ main
thederby/oQ8e-mtp fp16 variant ~0.9 GB larger, vision tower float32 [L39]publisher comparison buildoQ8e fp16other30.90download0.000798.4%10.20——vs BF16L33 @ main
thederby/oQ8e-mtp publisher comparison buildoQ6e fp16other24.60download0.002897.1%10.22——vs BF16L31 @ main
thederby/oQ8e-mtp publisher comparison buildoQ6e bf16other23.70download0.003397.2%10.23——vs BF16L30 @ main
thederby/oQ8e-mtp publisher comparison buildoQ5e fp16other21.20download0.010394.9%10.28——vs BF16L29 @ main
thederby/oQ8e-mtp publisher comparison buildoQ5e bf16other20.30download0.010694.9%10.28——vs BF16L28 @ main
thederby/oQ8e-mtp publisher comparison buildoQ4e fp16other17.90download0.035190.5%10.47——vs BF16L27 @ main
thederby/oQ8e-mtp publisher comparison buildoQ4e bf16other17.00download0.035890.6%10.47——vs BF16L26 @ main
TheDrainFlorist/VQ-4.5bpw superseded prose-only table [L123]publisher comparison buildaffine q6 (ours)other22.77download————kl_mnats:prose_2048tok 3.71; top1:prose_2048tok 96.8%; ppl:prose_2048tok 5.260vs BF16L123 @ main
TheDrainFlorist/VQ-4.5bpw superseded prose-only table [L120]publisher comparison buildaffine q3 (ours)other12.69download————kl_mnats:prose_2048tok 187.8; top1:prose_2048tok 79.5%; ppl:prose_2048tok 5.832vs BF16L120 @ main
TheDrainFlorist/VQ-4.5bpw superseded prose-only table [L119]publisher comparison buildaffine q2 (ours)other9.3download————kl_mnats:prose_2048tok 1426.9; top1:prose_2048tok 46.1%; ppl:prose_2048tok 16.435vs BF16L119 @ main
TheDrainFlorist/VQ-4.8bpw [L124]publisher comparison buildaffine q8 (ours) (superseded table)other29.51download1.25 mnats98.5%5.241——vs BF16L124 @ main
TheDrainFlorist/VQ-4.8bpw [L123]publisher comparison buildaffine q6 (ours) (superseded table)other22.77download3.71 mnats96.8%5.260——vs BF16L123 @ main
TheDrainFlorist/VQ-4.8bpw [L121]publisher comparison buildaffine q4 (ours) (superseded table)other16.05download45.8 mnats89.8%5.206——vs BF16L121 @ main
TheDrainFlorist/VQ-4.8bpw [L120]publisher comparison buildaffine q3 (ours) (superseded table)other12.69download187.8 mnats79.5%5.832——vs BF16L120 @ main
TheDrainFlorist/VQ-4.8bpw [L119]publisher comparison buildaffine q2 (ours) (superseded table)other9.3download1426.9 mnats46.1%16.435——vs BF16L119 @ main
timteh673/Opus-Abliterix-Reasoning-MLX-8bit reference row; KL 0 by definition [L52]publisher comparison buildcontrol-bf16MLX—0.000000———Capability macro 17.6859%; Full code 16; HumanEval 7.9268%; Long-form pass 54.1667%; MMMU30 9; Harmful hard refusal 43.2%vs BF16L43 @ main
ToBeStyled/ColdFusion-GAIN-Blackwell-DFlash2-Ultra-V1.0 [L113]publisher comparison buildQ4_K_M of the same finetune + DFlash2other18.50download——2.7325 ± 0.033——other or no referenceL113 @ main
ToBeStyled/ColdFusion-GAIN-Blackwell-DFlash2-Ultra-V1.0 size from Notes text [L128]publisher comparison buildFable NVFP4 + imatrix scale searchother16.00download——2.8016——other or no referenceL128 @ main
ToBeStyled/ColdFusion-GAIN-Blackwell-DFlash2-Ultra-V1.0 Fable variants requantized by hand; relation to this repo's finetune not stated [L123-125]publisher comparison buildFable Q4_K_M (the bar)other———2.7660——other or no referenceL127 @ main
ToBeStyled/ColdFusion-GAIN-Blackwell-DFlash2-Ultra-V1.0 [L129]publisher comparison buildFable NVFP4 legacy fixed amax/6other———2.8231——other or no referenceL129 @ main
ToBeStyled/ColdFusion-GAIN-Blackwell-DFlash2-Ultra-V1.0 22 GB per notes [L130]publisher comparison buildFable NVFP4 + FFN/attention in Q6_Kother———2.7573——other or no referenceL130 @ main
trevest/Tetris-GGUF Reference row, +0.13% vs BF16 [L31]publisher comparison buildQ8_0 referenceGGUF29.04download——6.9887——vs a Q8_0L26 @ main
trohrbaugh/heretic-ara measured by ayushcluster00KL vs base of source abliteration [L129]trohrbaugh -ara (source)—0.0535————other or no referenceL129 @ main
trohrbaugh/heretic-ara measured by jaromerabliteration source model, KL vs base; refusals 3/100 [L129]trohrbaugh -ara (source)—0.0535————other or no referenceL129 @ main
trohrbaugh/heretic-ara measured by slevinwKL vs base model (abliteration), not quantization [L131]trohrbaugh -ara (source)—0.0535————other or no referenceL131 @ main
turboderp/exl3 measured by malaiwah21.37 GiB file / 17.05 body [L453]turboderp/Qwen3.8-27B-exl3 6.00bpwEXL322.95download0.00158398.28 %———vs BF16L453 @ main
turboderp/exl3 measured by malaiwahfile size; body 17.05 GiB c78.1 [L462]turboderp/Qwen3.8-27B-exl3 6.00bpw @ d32ba0bbEXL322.95download0.00158398.28 %———vs BF16L462 @ main
turboderp/exl3 measured by malaiwahfile size 21.37 GiB, body 17.05 [L493]turboderp/Qwen3.8-27B-exl3 6.00bpw shard0EXL322.95download0.00158398.28 %———other or no referenceL493 @ main
turboderp/exl3 measured by malaiwah18.53 GiB file / 14.22 body [L458]turboderp/Qwen3.8-27B-exl3 5.00bpwEXL319.90download0.00400597.37 %———vs BF16L458 @ main
turboderp/exl3 measured by malaiwahfile size; body 14.22 GiB c97.1 [L467]turboderp/Qwen3.8-27B-exl3 5.00bpw @ a35e75a7EXL319.90download0.00400597.37 %———vs BF16L467 @ main
turboderp/exl3 measured by malaiwahfile size 18.53 GiB, body 14.22 [L498]turboderp/Qwen3.8-27B-exl3 5.00bpw shard0EXL319.90download0.00400597.37 %———other or no referenceL498 @ main
Twu31/AWQ-INT4-MTP-LowLatency [L147]publisher comparison buildINT4 body, BF16 lm_headAWQ—————NLL 0.327vs BF16L147 @ main
Twu31/AWQ-INT4-MTP-LowLatency [L149]; 17.6 GB in prose [L248]publisher comparison buildINT4 + INT4 lm_head (lm-head-int4)AWQ—————NLL 0.326vs BF16L149 @ main
Twu31/AWQ-INT4-MTP-LowLatency [L150]; 19.0 GB in prose [L248]publisher comparison buildMTP head also INT4 (mtp-int4-autoround)AWQ—————NLL 0.324vs BF16L150 @ main
UgurI/Turkish-CPT-GGUF Comparison column in the card; file/precision of base run not stated [L36]publisher comparison buildBase Model (Qwen3.8-27B)GGUF—————ppl:turkish_validation 7.5838; ppl:turkish_test 8.0534; TurkishMMLU 60.00%; Belebele TR 83.33%; Belebele EN 96.67%other or no referenceL38 @ main
unsloth/GGUF measured by magiccodingmanRebuilt by MagicQuant under controlled conditions with its own imatrix, not the original artifact [L72]UD-Unsloth-UD-Q6_K_XLGGUF25.33download0.001238————reference not statedL39 @ main
unsloth/GGUF measured by magiccodingmanRebuilt under MagicQuant flow [L72]UD-Unsloth-UD-Q6_K_LGGUF24.23download0.001439————reference not statedL40 @ main
unsloth/GGUF measured by magiccodingmanRebuilt under MagicQuant flow [L72]UD-Unsloth-UD-Q4_K_MGGUF16.50download0.011205————reference not statedL47 @ main
unsloth/GGUF measured by oshitekuNo SWE-bench value in this columnQwen3.8 UD-Q4_K_MGGUF16.50download0.01497.0%———vs BF16L70 @ main
unsloth/GGUF measured by fraQtlrepo id completed from truncated link text 'unsloth/Qwen3.8-2...' [L35]unsloth canonical Q4_K_MGGUF16.46download————kld:code/math 0.22493; kld:general 0.28209; GSM8K 94.0% (188/200); MATH-500 88.2% (441/500)vs a Q8_0L35 @ main
unsloth/GGUF measured by akopytko[L62,L70]unsloth Q4_0GGUF16.05download0.028317 +/- 0.00033092.698 +/- 0.115%———vs BF16L62 @ main
unsloth/GGUF measured by magiccodingmanRebuilt under MagicQuant flow [L72]UD-Unsloth-UD-Q4_K_SGGUF15.39download0.014502————reference not statedL49 @ main
unsloth/GGUF measured by magiccodingmanRebuilt under MagicQuant flow [L72]UD-Unsloth-UD-IQ4_XSGGUF14.29download0.020127————reference not statedL50 @ main
unsloth/GGUF measured by Luceboxmeasured by card author as comparison [L21]Unsloth UD-IQ4_XSGGUF14.25download0.01894.1%—+0.7%—vs a Q8_0L23 @ main
unsloth/GGUF measured by jdominick05repo id inferred from the recipe source link [L104]; table row only says Unsloth UD-IQ4_XS [L46]Unsloth UD-IQ4_XSGGUF14.25download0.0273 ± 0.001794.74%—+1.0%—vs a Q8_0L46 @ main
unsloth/GGUF measured by wiklifrepo inferred [L391]Unsloth UD-IQ4_XSGGUF14.25download0.0187 kld:prose———kld:code 0.0138vs a Q8_0L112 @ main
unsloth/GGUF measured by magiccodingmanRebuilt under MagicQuant flow [L72]UD-Unsloth-UD-Q3_K_XLGGUF13.18download0.030770————reference not statedL51 @ main
unsloth/GGUF measured by wiklifrepo inferred [L391]Unsloth UD-Q3_K_XLGGUF13.15download0.0287 kld:prose———kld:code 0.0228vs a Q8_0L113 @ main
unsloth/GGUF measured by magiccodingmanRebuilt under MagicQuant flow [L72]UD-Unsloth-UD-IQ3_SGGUF12.08download0.046499————reference not statedL52 @ main
unsloth/GGUF measured by wiklifrepo inferred [L391]Unsloth UD-IQ3_SGGUF12.04download0.0507 kld:prose———kld:code 0.0330vs a Q8_0L114 @ main
unsloth/GGUF measured by magiccodingmanRebuilt under MagicQuant flow [L72]UD-Unsloth-UD-IQ3_XXSGGUF10.97download0.070084————reference not statedL54 @ main
unsloth/GGUF measured by wiklifrepo inferred from reference/credits lines [L55,L391]Unsloth UD-IQ3_XXSGGUF10.93download0.0781 kld:prose———GPQA Diamond 87.9 ± 4.5; IFBench_loose 83.0; IFBench_strict 80.3; LiveCodeBench v6 87.0 ± 5.8; kld:code 0.0487vs a Q8_0L67 @ main
unsloth/GGUF measured by magiccodingmanRebuilt under MagicQuant flow [L72]UD-Unsloth-UD-Q2_K_XLGGUF9.9download0.105510————reference not statedL56 @ main
unsloth/GGUF measured by wiklifrepo inferred [L391]Unsloth UD-Q2_K_XLGGUF9.8download0.1061 kld:prose———kld:code 0.0741vs a Q8_0L119 @ main
unsloth/GGUF measured by magiccodingmanRebuilt under MagicQuant flow [L72]UD-Unsloth-UD-IQ2_XXSGGUF9.1download0.182364————reference not statedL57 @ main
unsloth/GGUF measured by Rabbit-Hole-Airepo inferred from card links [L288]; 2.17x this cook KLD [L186]Unsloth UD-Q6_KGGUF—————kld:corpus A 0.003486; top1:corpus A 97.173%vs BF16L186 @ main
unsloth/GGUF measured by Rabbit-Hole-Airepo inferred from card links [L288]; 3.22x this cook KLD [L187]Unsloth UD-Q5_K_XLGGUF—————kld:corpus A 0.005169; top1:corpus A 96.756%vs BF16L187 @ main
unsloth/GGUF measured by Rabbit-Hole-Airepo inferred from card links [L288]; 4.19x this cook KLD [L188]Unsloth UD-Q5_K_MGGUF—————kld:corpus A 0.006734; top1:corpus A 96.202%vs BF16L188 @ main
unsloth/GGUF measured by ToBeStyled[L49,L67-68]Base Q4_K_M (UD-Q4_K_M, no speculation)GGUF—————HumanEval-50 pass@1 84.0%; GSM8K-50 94.0%other or no referenceL67 @ main
unsloth/GGUF quoted by acyildirimer, not measured[L82]unsloth GGUF Q8_0NVFP4—————MMLU 85.2; ARC-C 96.8; HellaSwag 94.4; GSM8K 97.4; HumanEval 94.5; 4-task mean 93.5vs BF16L82 @ main
unsloth/GGUF quoted by acyildirimer, not measured[L83]unsloth GGUF Q6_KNVFP4—————MMLU 85.3; ARC-C 96.7; HellaSwag 94.3; GSM8K 97.5; HumanEval 94.5; 4-task mean 93.5vs BF16L83 @ main
unsloth/GGUF quoted by acyildirimer, not measured[L84]unsloth GGUF UD-Q4_K_XLNVFP4—————MMLU 85.1; ARC-C 96.6; HellaSwag 94.4; GSM8K 97.3; HumanEval 93.9; 4-task mean 93.4vs BF16L84 @ main
unsloth/GGUF quoted by acyildirimer, not measured[L85]unsloth GGUF Q4_K_MNVFP4—————MMLU 85.0; ARC-C 96.8; HellaSwag 94.3; GSM8K 97.1; HumanEval 92.7; 4-task mean 93.3vs BF16L85 @ main
unsloth/GGUF measured by akopytkorepo inferred from the unsloth link at [L62]; [L71]unsloth Q6_KGGUF—0.002857 +/- 0.00005197.506 +/- 0.069%———vs BF16L71 @ main
unsloth/GGUF measured by jcbtcComparison files from Unsloth Dynamic 3.0, revision 4ca720788d1e [L121]; run at 65,536 context [L115]Unsloth Dynamic Q4GGUF—————HumanEval 158/164 (96.34%); HumanEval+ 148/164 (90.24%)reference not statedL105 @ main
unsloth/GGUF measured by jcbtcComparison files from Unsloth Dynamic 3.0 [L121]; run at 65,536 context [L115]Unsloth Dynamic Q6GGUF—————HumanEval 157/164 (95.73%); HumanEval+ 150/164 (91.46%)reference not statedL106 @ main
unsloth/GGUF measured by wiklif29.1 GB only in table header, no candidate [L65]Q8_0GGUF—————GPQA Diamond 92.4 ± 3.7; IFBench_loose 81.7; IFBench_strict 79.0; LiveCodeBench v6 88.5 ± 5.5vs a Q8_0L67 @ main
unsloth/NVFP4 measured by shisa-aiMeasured locally at revision 7d6f8d4d; median KLD c21 [L58]unsloth/Qwen3.8-27B-NVFP4NVFP423.42download0.03015593.14%——kld_99 0.335824vs BF16L58 @ main
unsloth/NVFP4 measured by QUASAR-QAT168/496 linears NVFP4 [L84]Unsloth NVFP4NVFP423.40download————GPQA-Diamond 89.39; AIME'26 97.78vs BF16L84 @ main
unsloth/NVFP4 measured by TelperionAI[L59]unsloth/Qwen3.8-27B-NVFP4NVFP423.40download—91.75%——divmed 19vs BF16L59 @ main
unsloth/NVFP4 measured by TelperionAI[L60]unsloth/Qwen3.8-27B-NVFP4NVFP423.40download—91.75%———vs BF16L60 @ main
unsloth/NVFP4 measured by TelperionAIunsloth/Qwen3.8-27B-NVFP4NVFP423.40download—91.75%———vs BF16L59 @ main
unsloth/NVFP4 measured by malaiwahshard-0 of v5 suite [L503-508]resident weights, not serialized [L487]unsloth/Qwen3.8-27B-NVFP4NVFP422.91resident0.03011593.16 %——kld:v3 0.094978; top1:v3 90.53 %vs BF16L396 @ main
unsloth/NVFP4 measured by malaiwah[L782]unsloth/Qwen3.8-27B-NVFP4 v3 136-contextNVFP422.91resident0.09497890.53 %———other or no referenceL782 @ main
unsloth/NVFP4 quoted by acyildirimer, not measured[L81]unsloth/Qwen3.8-27B-NVFP4NVFP4—————MMLU 84.3; ARC-C 96.9; HellaSwag 94.3; GSM8K 97.1; HumanEval 89.6; 4-task mean 93.2vs BF16L81 @ main
unsloth/NVFP4 measured by malaiwahresident 21.34 GiB measured, not serialized [L486]; shard-0 [L463]unsloth/Qwen3.8-27B-NVFP4NVFP4—0.03011593.16 %———vs BF16L463 @ main
unsloth/NVFP4 measured by malaiwah[L503]; resident 21.34 GiB in prose [L522]unsloth/Qwen3.8-27B-NVFP4 shard0NVFP4—0.03011593.16 %———other or no referenceL503 @ main
unsloth (link truncated in prompt) measured by primitive-ai[L84]unsloth NVFP4NVFP423.41download————overall 89.6; knowledge 91.4; call 85.0; abstain 57.5vs BF16L84 @ main
unsloth (repo not named on card) measured by talxccbaseline row; General Benches cell is 'Baseline (100%)' [L63]Unsloth Q4_K_M (Standard)15.20download————Coding_Retention 100% (Baseline)other or no referenceL63 @ main
unsloth (repo not named on card) measured by AtomicChat[L205]UD-Q4_K_XL—0.00955————vs BF16L205 @ main
varshavvvvv/Ternary-CyberX-2-27B-gguf reference [L212]publisher comparison buildQwen3.8-27B FP16GGUF54.00text weights (excl. vision, MTP)————MMLU-Redux 91.46; MuSR 79.63; GSM8K 97.19; MATH-500 99.80; AIME25 96.67; AIME26 94.58; HumanEval+ 93.29; MBPP+ 83.86; LiveCodeBench 90.05; IFEval 91.50; BFCL v3 76.74; MMMU-Pro 81.73; OCR Bench v2 60.99other or no referenceL212 @ main
Vontra/MLX-4bit measured by anubhav200[L81]Vontra/Qwen3.8-27B-MLX-4bit (MLX affine 4-bit)MLX——92.80%———vs BF16L81 @ main
WarlaxZ/NInfer-3090 Publisher's variant [L89]publisher comparison buildThis layout with a 6-bit embeddingother—0.0304————other or no referenceL89 @ main
WaveCut/MLX-4bit-DWQ baseline mlx-community 4-bit RTN [L26,L50]publisher comparison buildOriginal 4-bit RTN baselineMLX—0.204094————other or no referenceL50 @ main
XpressAI/RYS-GGUF base model quant not stated in table [L41-47]publisher comparison buildBaseGGUF—————Reasoning probe 58.82%; EQ-140 82.65; BFCL micro 82.60%; BFCL macro 80.54%; Math probe 1.000other or no referenceL43 @ main
YourHighnessLA/L0xRE-27b-Low-MTP [L72]publisher comparison buildnative-quant baselineother—————internal_suite_pass@1 117 / 150other or no referenceL72 @ main
Youssofal/MTPLX-Bare-Speed 2,389-position teacher-forced set [L60]relation of Bare Speed to Optimized Speed not statedpublisher comparison buildOptimized Speed (4-bit dynamic)other—0.012————vs BF16L60 @ main
Youssofal/MTPLX-Bare-Speed [L60]publisher comparison buildOptimized Quality (8-bit dynamic)other——99.3 percent———vs BF16L60 @ main
Youssofal/MTPLX-Bare-Speed-FP16 sibling pack, not this repo [L69,L106]publisher comparison buildOptimized Speed (4-bit dynamic)other—0.012————vs BF16L69 @ main
Youssofal/MTPLX-Bare-Speed-FP16 sibling pack, not this repo [L69,L106]publisher comparison buildOptimized Quality (8-bit dynamic)other—KL 0.0005. Exactness on this release: a————vs BF16L69 @ main
Youssofal/MTPLX-Optimized-Quality Sibling pack by same publisher; KL type (mean/median) not stated [L59]publisher comparison buildOptimized Speed (4-bit dynamic)other—————kld:code_prose_json_multilingual 0.012; top1:code_prose_json_multilingual 96.0 percentvs BF16L59 @ main
Youssofal/MTPLX-Optimized-Quality-FP16 99.3 percent top-1 agreement in prose [L68]publisher comparison buildOptimized Quality (8-bit dynamic) parentother—KL 0.0005. Exactness on this release: a99.3 percent———vs BF16L68 @ main
Youssofal/MTPLX-Optimized-Quality-FP16 96.0 percent top-1 agreement in prose [L68]publisher comparison buildOptimized Speed (4-bit dynamic)other—0.012————vs BF16L68 @ main
Youssofal/MTPLX-Optimized-Speed separate repo Youssofal/Qwen3.8-27B-MTPLX-Optimized-Quality [L130]publisher comparison buildOptimized Quality (8-bit dynamic)other—KL 0.0005. Exactness on this release: a99.3 percent———vs BF16L58 @ main
Youssofal/MTPLX-Optimized-Speed-FP16 parent pack figures [L68]publisher comparison buildOptimized Quality (8-bit dynamic)other——99.3 percent———vs BF16L68 @ main
Zynerji/Ektome-PristinelyUncensored sibling repo; max context on 24 GB is a context length not a quality value [L44]quality figures only in prose [L54]publisher comparison buildHOMEUSER-16-24other14.70download————MMLU 0.7995other or no referenceL44 @ main
Zynerji/Ektome-PristinelyUncensored-GPTQ-MTP [L147-148]publisher comparison buildbf16 parentGPTQ—————MMLU-val 0.8175; RefusalCompliance 1.000vs BF16L147 @ main
Zynerji/Ektome-PristinelyUncensored-GPTQ-MTP bf16 parent receipts [L75-76]publisher comparison buildedited (bf16, post-edit)GPTQ—————RefusalCompliance 1.000vs BF16L75 @ main

Publisher notes

Method, evaluation setup and problems we found, per repository. Line numbers refer to the card snapshot linked at the bottom of each note.

0xBakeer/TandemLLM-Qwen3.8-27B-EXL3-2.5

EXL3 vs BF16

Reference
BF16 Qwen/Qwen3.8-27B
Eval data
wikitext-2
Context
not stated
Tool
exllamav3 1.6.0 (quantization); speed on DGX Spark in TandemLLM 0.6.2

Card snapshot main · updated 2026-10-13

0xBakeer/TandemLLM-Qwen3.8-27B-NVFP4

NVFP4 vs BF16

Reference
Qwen/Qwen3.8-27B BF16, change in loss per token, teacher-forced
Eval data
four held-out texts (prose 1,521 tok; Triton Python 8,002 tok; Python 10,500 tok; Wikipedia 11,999 tok); gate reads first 2,048 tokens
Context
2,048 for gate
Tool
GPTQ on NVFP4 grid, TandemLLM tools/quality_gate.py

Card snapshot main · updated 2026-09-29

0xWhiteMage/Qwen3.8-27B-Kearuga

other vs BF16

Reference
native BF16 Qwen/Qwen3.8-27B
Eval data
Fidelity-40 (40 prompts); held-out set of 72,082 tokens; Quality-200 (GSM8K, HumanEval, IFEval, agentic coding)
Context
not stated
Tool
SGLang on DGX Spark, KV cache BF16, thinking off, temperature 0

Card snapshot main · updated 2026-09-24

1bit-MONSTER/Qwen3.8-27B-UD-Q4_K_XL-MTP

other other or no reference

Reference
the reference (not specified further)
Eval data
not stated
Context
not stated
Tool
not stated (measured on Strix Halo, Vulkan)

Card snapshot main · updated 2026-09-26

6block/Qwen3.8-27B-GGUF

GGUF vs BF16

Reference
master BF16 (not in this repo)
Eval data
not stated
Context
not stated
Tool
not stated (in-house fixed setup, same command for all tiers)

Card snapshot main · updated 2026-08-19

abhishekchohan/Qwen3.8-27B-AWQ-INT4-FP8KV

AWQ other or no reference

Reference
abhishekchohan/Qwen3.8-27B-AWQ-INT4 with bf16 KV cache (same weights, only KV dtype differs)
Eval data
GSM8K (1319), GPQA Diamond (198), Minerva Math500 (500), ARC-Easy (2376), ARC-Challenge (1172), HellaSwag (2000), Winogrande (1267), TruthfulQA MC1 (817); needle-in-a-haystack
Context
fp8-e4m3 KV; KV scales calibrated on 112 sequences x 262,144 tokens; needle test up to 131,072
Tool
same harness as the AWQ-INT4 card; thinking generative and loglikelihood protocols

Card snapshot main · updated 2026-08-27

abhishekchohan/Qwen3.8-27B-GPTQ-INT4

GPTQ vs BF16

Reference
BF16 base
Eval data
GSM8K (250-sample subset), GPQA Diamond (198), RealWorldQA (765), MathVision (3040), ARC-Easy (2376)
Context
not stated for evals; needle test up to 262,144
Tool
lm-eval-harness, hf-multimodal backend, greedy; thinking enabled for generative tasks, loglikelihood for ARC-Easy

Card snapshot main · updated 2026-08-25

abhishekchohan/Qwen3.8-27B-GPTQ-INT4-FP8KV

GPTQ other or no reference

Reference
Base BF16 (bf16 KV)
Eval data
lm-evaluation-harness tasks (GSM8K, GPQA Diamond, Minerva Math500, RealWorldQA, MathVision, ARC, HellaSwag, Winogrande, TruthfulQA MC1)
Context
max_gen_toks=8192; thinking enabled; greedy, seed 1234
Tool
lm-evaluation-harness with vLLM 0.27.1 on RTX PRO 6000 Blackwell

Card snapshot main · updated 2026-10-09

abihsoro/Qwen3.8-27B-AWQ-INT4

AWQ other or no reference

Reference
no BF16 reference; compared against cyankiwi/Qwen3.6-27B-AWQ-INT4 (different base model)
Eval data
GSM8K, 100 samples; calibration HuggingFaceH4/ultrachat_200k 256 samples
Context
max_gen_toks=2048
Tool
lm-evaluation-harness (local-chat-completions); llm-compressor

Card snapshot main · updated 2026-08-15

abuarchive/Qwen3.8-27B-2bit-oQ2

other other or no reference

Reference
official 4-bit release (mlx-community/Qwen3.8-27B-4bit), same hardware and settings
Eval data
allenai/tulu-3-sft-mixture, 40 held-out samples, seed 42; plus 16-prompt battery
Context
sequence length 256
Tool
MLX perplexity; sensitivity-pass per-layer bit allocation

Card snapshot main · updated 2026-08-16

acyildirimer/Qwen3.8-27B-AutoQuant-NVFP4-FP8-5bit

NVFP4 vs BF16

Reference
Qwen/Qwen3.8-27B BF16 (comparison row)
Eval data
MMLU 5-shot (14,042 q), ARC-C, HellaSwag 10-shot (10,042 q), GSM8K, HumanEval
Context
not stated
Tool
vLLM chat completions, thinking disabled; comparison rows from public witcheer/rtx-5090-benchmarks, serving stacks differ

Card snapshot main · updated 2026-08-30

airagrp/Qwen3.8-27B-mlx-mxfp8-L

MLX vs BF16

Reference
bf16 Qwen3.8-27B
Eval data
WikiText-2 raw test split, 297,053 tokens
Context
2048-token windows, fresh KV cache per window
Tool
benchmark_ppl_kld.py (mlx-vlm 0.6.17)

Card snapshot main · updated 2026-09-04

airagrp/Qwen3.8-27B-mlx-mxfp8-M

MLX vs BF16

Reference
bf16 Qwen3.8-27B
Eval data
wikitext-2-raw-v1 test split, 297,053 tokens
Context
2048-token windows, fresh KV cache per window
Tool
benchmark_ppl_kld.py, mlx-vlm 0.6.17; full-vocabulary mean D_KL(p_bf16 || p_model) in nats/token

Card snapshot main · updated 2026-09-04

airagrp/Qwen3.8-27B-mlx-mxfp8-S

MLX vs BF16

Reference
bf16 Qwen3.8-27B
Eval data
WikiText-2 raw test split (297,053 tokens)
Context
2048-token windows, fresh KV cache per window
Tool
benchmark_ppl_kld.py, mlx-vlm 0.6.17

Card snapshot main · updated 2026-09-04

airagrp/Qwen3.8-27B-mlx-mxfp8-XL

MLX vs BF16

Reference
bf16 Qwen3.8-27B
Eval data
WikiText-2 raw test split (297,053 tokens)
Context
2048-token windows
Tool
benchmark_ppl_kld.py with mlx-vlm 0.6.17

Card snapshot main · updated 2026-09-04

airagrp/Qwen3.8-27B-mlx-nvfp4-L

MLX vs BF16

Reference
bf16 Qwen3.8-27B, mean per-token D_KL(p_bf16 || p_model) over full vocabulary
Eval data
WikiText-2 raw test split, 297,053 tokens
Context
2048-token windows, fresh KV cache per window
Tool
benchmark_ppl_kld.py, mlx-vlm 0.6.17

Card snapshot main · updated 2026-09-04

airagrp/Qwen3.8-27B-mlx-nvfp4-M

MLX vs BF16

Reference
bf16 Qwen3.8-27B
Eval data
WikiText-2 raw test split, 297,053 tokens
Context
2048-token windows, fresh KV cache per window
Tool
benchmark_ppl_kld.py, mlx-vlm 0.6.17

Card snapshot main · updated 2026-09-04

airagrp/Qwen3.8-27B-mlx-nvfp4-S

MLX vs BF16

Reference
bf16 Qwen3.8-27B
Eval data
WikiText-2 raw test split, 297,053 tokens
Context
2048-token windows, fresh KV cache per window
Tool
benchmark_ppl_kld.py, mlx-vlm 0.6.17

Card snapshot main · updated 2026-09-04

airagrp/Qwen3.8-27B-mlx-nvfp4-XL

MLX vs BF16

Reference
bf16 Qwen3.8-27B
Eval data
WikiText-2 raw test split, 297,053 tokens
Context
2048-token windows, fresh KV cache per window
Tool
benchmark_ppl_kld.py, mlx-vlm 0.6.17, benchmarked 2026-09-03

Card snapshot main · updated 2026-09-04

aj9o9/Qwen3.8-27B-GGUF

GGUF vs BF16

Reference
official BF16 logits
Eval data
wiki.test.raw (KLD); author's locked GLSL / hard suite, think off, t=0
Context
n_ctx=512
Tool
llama.cpp

Card snapshot main · updated 2026-08-17

akopytko/Qwen3.8-27B-NVFP4-GGUF

GGUF vs BF16

Reference
base bf16 model
Eval data
wikitext test set
Context
not stated
Tool
KLD and Top P agreement (llama.cpp style); base perplexity 6.7945

Card snapshot main · updated 2026-10-04

Alogotron/Qwen3.8-27B-MixQ4A6E8-GGUF

GGUF vs BF16

Reference
BF16 base logits (freshly generated)
Eval data
WikiText-2 test, full set, 602 chunks
Context
512 (ctx/batch/ubatch 512)
Tool
llama.cpp b10442 Vulkan perplexity lane

Card snapshot main · updated 2026-08-19

Alogotron/Qwen3.8-27B-MixQ5A6E8-GGUF

GGUF vs BF16

Reference
BF16 (BF16-relative KL; BF16 PPL 6.648031)
Eval data
full WikiText-2 PPL
Context
not stated
Tool
llama.cpp b10442 Vulkan perplexity lane; Bartowski imatrix used for quantization

Card snapshot main · updated 2026-08-19

amd/Qwen3.8-27B-Quark-AWQ-INT4-W4A16

AWQ vs BF16

Reference
BF16 Qwen/Qwen3.8-27B (measured by the card author)
Eval data
GSM8K 5-shot; Wikitext perplexity; BFCL single_turn
Context
not stated
Tool
lm-evaluation-harness (vLLM backend); bfcl_eval; Quark AWQ with 128 calibration samples, seq len 512

Card snapshot main · updated 2026-08-28

amd/Qwen3.8-27B-Quark-Qronos-INT4-W4A16

INT4 vs BF16

Reference
Qwen/Qwen3.8-27B BF16, measured by the card author
Eval data
GSM8K 5-shot (thinking and no-thinking), Wikitext perplexity, BFCL single_turn
Context
not stated
Tool
lm-evaluation-harness (vLLM backend), bfcl_eval; Quark Qronos INT4 W4A16 group 128, 128 calibration samples x 512 tokens

Card snapshot main · updated 2026-08-28

andrew-paul/Qwen3.8-27B-GGUF

GGUF vs BF16

Reference
BF16 (28Q score = 100%)
Eval data
not stated for KLD; 28Q screening metric
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-09-29

anemll/anemll-forge-qwen3.8-27B

other vs BF16

Reference
BF16 Qwen3.8-27B (teacher-forced KL, top-512 plus tail on ANE trace)
Eval data
KL-512: 64 chats (40,023 positions); held-out chats 37,076; WikiText 16x1,024; last 2K of 16 x 16,384-token windows from 12 long sessions
Context
short chat traces (longest 857 tokens); 8K/64K ppl; 16K windows
Tool
ANEMLL harness on M6 ANE and PyTorch; GGUFs scored with llama.cpp on M3 Ultra

Card snapshot main · updated 2026-10-10

anemll/anemll-quantized-qwen3.8-27b-for-CoreAI

other vs BF16

Reference
BF16 Qwen3.8-27B (teacher-forced KL)
Eval data
64 chats (40,023 positions), held-out chats (37,076), WikiText 16x1,024, last 2K of 16 x 16,384-token windows from 12 long sessions
Context
short chat traces and 16K windows
Tool
PyTorch for ANEMLL and Mirai S; llama.cpp on M3 Ultra for GGUFs

Card snapshot main · updated 2026-10-10

anubhav200/Qwen3.8-27B-exl3-4.00bpw-bf16vision

EXL3 vs BF16

Reference
6.00 bpw EXL3 model (near-full-precision, itself EXL3)
Eval data
61,575 thinking-mode response tokens generated by the 6.00 bpw EXL3 model (cal_trace.json)
Context
not stated
Tool
TensorFold forward (fp8 KV, bf16 prompt activations), DGX Spark

Card snapshot main · updated 2026-10-11

Ar3ntiz/qwen3_27B_side8

other vs BF16

Reference
original Qwen3.8-27B (BF16)
Eval data
16 x 512 held-out positions (KL/top-1); WikiText-2 test (PPL); 120 graded questions (20 per subset) for answer-level eval
Context
512-token positions
Tool
SUC runtime (KL/top-1 vs original); greedy answer eval

Card snapshot main · updated 2026-10-17

armin1/Qwen3.8-27B-NVFP4-FP8-Mixed-LH

NVFP4 vs BF16

Reference
BF16 original (teacher-forced)
Eval data
58 documents of code, prose, long context (16K/32K) and chat, 110,155 positions; GSM8K test (1,319 questions) for reasoning
Context
documents up to 16K/32K; GSM8K 16K cap
Tool
SGLang on DGX Spark; KL over top-20 tokens (lower bound on full KL)

Card snapshot main · updated 2026-10-02

armin1/Qwen3.8-27B-NVFP4-FP8-Mixed-LH-Heretic

NVFP4 vs BF16

Reference
BF16 original, teacher-forced
Eval data
58 documents (code, prose, long context 16K/32K, chat), 110,155 positions; GSM8K test 1,319 questions thinking on; quantization calibration Nemotron post-training v3 (512 x 2,048)
Context
GSM8K 16K cap; KL computed over top-20 tokens (lower bound on full KL)
Tool
NVIDIA ModelOpt hf_ptq.py local_hessian; SGLang on DGX Spark; Heretic for abliteration

Card snapshot main · updated 2026-10-02

atakans/Qwen3.8-27B-NVFP4-BF16head

NVFP4 vs BF16

Reference
BF16 (perplexity 8.30)
Eval data
WikiText-2 test, 100 x 512 tokens, top-20 logprobs
Context
512
Tool
ModelOpt 0.47.0 Local-Hessian calibration; vLLM 0.30.0 measurement script

Card snapshot main · updated 2026-10-14

AtomicChat/Qwen3.8-27B-GGUF

GGUF vs BF16

Reference
original BF16 weights converted to GGUF, run unquantized (PPL 4.5219 +/- 0.0238)
Eval data
eval_neutral held-out split of AtomicChat/calib-corpora, 87 chunks
Context
4096
Tool
llama-perplexity --kl-divergence

Card snapshot main · updated 2026-08-18

AveLabs/Qwen3.8-27B-Perplexing-Pegasus-NVFP4

NVFP4 vs BF16

Reference
Decisions: original BF16 pplx-decider; chat: stock Qwen3.8-27B in its official NVFP4 build
Eval data
Decisions: JevBench public, WANLI, Open-Jev v1.1 mix; chat: IFEval, GSM8K zero-shot CoT, MMLU-Pro 1,008 questions; calibration 1,024 x 512 tokens of cnn_dailymail
Context
MMLU-Pro 16K-token answer budget, unanswered reruns at 64K
Tool
SGLang, lm-evaluation-harness 0.4.13, reasoning effort low, temperature 0; quantized with NVIDIA ModelOpt

Card snapshot main · updated 2026-10-05

Avesed/Qwen3.8-27B-INT4-W4A16

INT4 other or no reference

Reference
none (absolute accuracy, no bf16 row)
Eval data
GSM8K, 250 questions
Context
max_tokens=24576
Tool
vLLM tp2 over OpenAI API, thinking on, temp 1.0 top_p 0.95 top_k 20, boxed-answer extraction

Card snapshot main · updated 2026-08-16

Avesed/Qwen3.8-27B-INT8-W8A8

INT8 other or no reference

Reference
none (absolute accuracy, no bf16 row)
Eval data
GSM8K, 250 questions
Context
max_tokens=24576
Tool
vLLM tp2 over OpenAI API, thinking on, temp 1.0 top_p 0.95 top_k 20, boxed-answer extraction

Card snapshot main · updated 2026-08-16

avlp12/Qwen3.8-27B-Alis-MLX-4bit

MLX vs BF16

Reference
bf16 (Qwen/Qwen3.8-27B); KL is exact full-vocab (248,320-way fp32 softmax) to bf16
Eval data
PPL: wikitext-2 test (en, 35,981 tok), Korean Wikipedia (ko, 35,179 tok), CPython stdlib (code, 32,295 tok); KL: ~100K en+ko+code tokens
Context
PPL window 2048 stride 512 (~103K scored tokens); KL paired non-overlapping ctx-2048 windows
Tool
MLX strided PPL harness with paired blockwise SE (512-token blocks); exact-KL sweep

Card snapshot main · updated 2026-08-22

avlp12/Qwen3.8-27B-Alis-MLX-6bit

MLX vs BF16

Reference
bf16 original Qwen/Qwen3.8-27B
Eval data
wikitext-2 test (en, 35,981 tok), Korean Wikipedia (ko, 35,179 tok), CPython stdlib (code, 32,295 tok); exact-KL sweep over ~100K en+ko+code tokens
Context
ctx 2048, stride 512 (PPL); ctx-2048 windows (KL); ctx 1024 x35 windows wikitext-2 (cross-check)
Tool
MLX strided PPL with paired per-token excess NLL, blockwise SE; full-vocab fp32 KL

Card snapshot main · updated 2026-08-22

avlp12/Qwen3.8-27B-Alis-MLX-8bit

MLX vs BF16

Reference
bf16 original (Qwen/Qwen3.8-27B)
Eval data
wikitext-2 test (en, 35,981 tok), Korean Wikipedia (35,179 tok), CPython stdlib (code, 32,295 tok); KL sweep over ~100K en+ko+code tokens
Context
window 2048, stride 512 (PPL); ctx 2048 non-overlapping windows (KL)
Tool
MLX strided perplexity, paired blockwise SE; exact full-vocab KL

Card snapshot main · updated 2026-08-22

avyukth/Qwen3.8-27B-AWQ-INT4

AWQ reference not stated

Reference
not stated
Eval data
GSM8K, 40 problems only, exact match, temperature 0
Context
max_model_len=8192
Tool
vLLM on RTX 3090

Card snapshot main · updated 2026-08-15

AxionML/Qwen3.8-27B-NVFP4

NVFP4 reference not stated

Reference
not stated
Eval data
calibration abisee/cnn_dailymail train, 1,024 samples; eval GSM8K full 1,319 split and Terminal-Bench 2.1 84-task subset
Context
calibration seq length 512
Tool
NVIDIA Model Optimizer commit 87c9f8cf; SGLang TP4 for evals

Card snapshot main · updated 2026-09-29

baa-ai/Qwen3.8-27B-RAM-13GB-GGUF

GGUF reference not stated

Reference
not stated (card claims no loss vs full-precision model)
Eval data
WikiText-2 (perplexity); GSM8K 50 questions; MMLU-math 60 questions
Context
not stated
Tool
llama.cpp (llama-server for context tests)

Card snapshot main · updated 2026-10-16

baa-ai/Qwen3.8-27B-RAM-24GB-MLX

MLX vs BF16

Reference
Qwen3.8-27B BF16 (full precision)
Eval data
MMLU 100-question calibrated subset spanning 57 subjects
Context
not stated
Tool
identical harness for both models, enable_thinking=False; agent_safety_gate.py and canary.py for safety screen

Card snapshot main · updated 2026-09-27

baa-ai/Qwen3.8-27B-RAM-31GB-GGUF

GGUF vs BF16

Reference
BF16 (for the sibling MLX MMLU claim)
Eval data
imatrix: 100 chunks wikitext-2 + 200 MMLU-Pro questions
Context
not stated
Tool
llama-quantize with imatrix

Card snapshot main · updated 2026-08-20

bartowski/Qwen3.8-27B-GGUF

GGUF vs BF16

Reference
bf16
Eval data
wiki.test.raw
Context
not stated (100 chunks)
Tool
llama.cpp b10896 (perplexity / KL divergence)

Card snapshot main · updated 2026-10-13

bernhardbrieger/Qwen3.8-27B-GPTQ-Int4

GPTQ other or no reference

Reference
none; absolute perplexity only, no base-vs-quant comparison
Eval data
single 260-token sample
Context
not stated
Tool
scripts/measure_ppl_quant.py on vLLM server

Card snapshot main · updated 2026-10-06

bernhardbrieger/Qwen3.8-27B-NVFP4

NVFP4 other or no reference

Reference
none (absolute PPL only; no base-vs-quant delta reported)
Eval data
single 260-token sample, not otherwise named
Context
not stated
Tool
scripts/measure_ppl_quant.py

Card snapshot main · updated 2026-09-23

bg-digitalservices/Qwen3.8-27B-ROCmFP4-STRIX-GGUF

GGUF other or no reference

Reference
own F16 conversion of the same weights
Eval data
wikitext-2 (EN) and held-out German Wikipedia slice (DE), disjoint from calibration corpus; 200 chunks
Context
not stated
Tool
KL-divergence (llama.cpp perplexity-style)

Card snapshot main · updated 2026-08-19

billmccartney/Qwen3.8-27B-exl3-8.00bpw

EXL3 vs BF16

Reference
cached BF16 distributions (Qwen3.8-27B BF16)
Eval data
WikiText2 test: 100 rows x 2,048 tokens (PPL r-100); KL over 204,800 logit positions
Context
2,048-token rows, stride 2,048, no chat wrapper
Tool
exllamav3 1.4.2 qbench

Card snapshot main · updated 2026-08-17

bowmanslayer/Qwen3.8-27B-W4A16-vision

INT4 other or no reference

Reference
none (no BF16 comparison column)
Eval data
MMLU, CMMLU, C-Eval, ARC-C, TruthfulQA MC1, GSM8K, MATH-500, BBH, HumanEval, IFEval strict; samples of 100-164 each
Context
not stated
Tool
thinking ON, sampled subsets; truncation-corrected accuracy also reported

Card snapshot main · updated 2026-08-17

btbtyler09/Qwen3.8-27B-GPTQ-4bit

GPTQ vs BF16

Reference
BF16 original
Eval data
wikitext-2-raw-v1 test
Context
seq_len=2048, stride=512
Tool
not stated (GPTQModel v6.0.3 for quantization)

Card snapshot main · updated 2026-08-14

btbtyler09/Qwen3.8-27B-GPTQ-8bit

GPTQ vs BF16

Reference
BF16 original
Eval data
wikitext-2-raw-v1 test set; calibration evol-codealpaca-v1 + C4, 256 samples
Context
seq_len 2048, stride 512
Tool
GPTQ 8-bit group size 32

Card snapshot main · updated 2026-08-14

Bucoid/Qwen3.8-27B-Uncensored-IQ4-XS-MTP-16GB-VRAM-GGUF

GGUF other or no reference

Reference
base Qwen3.8-27B Uncensored (precision and file not stated)
Eval data
not stated
Context
not stated
Tool
llama.cpp-style perplexity/KLD output (Mean PPL, Mean KLD, Same top p, Delta p); version not stated

Card snapshot main · updated 2026-08-18

cafonez/Qwen3.8-27B-ROCmI4-MTP-GGUF

GGUF other or no reference

Reference
local Q4_K_M reference
Eval data
not stated
Context
not stated
Tool
ROCmFPX build of llama.cpp on gfx1151

Card snapshot main · updated 2026-08-22

caiovicentino1/Qwen3.8-27B-GPTQ-gs64-FOEM

GPTQ other or no reference

Reference
none (no BF16 baseline run)
Eval data
C4 perplexity 40 docs / 16,683 tokens; HellaSwag 20, ARC-C 20, MMLU 8 q x 4 subjects, GSM8K 12 samples
Context
not stated
Tool
gptqmodel 6.0.3 + transformers 5.15.0, RTX PRO 6000

Card snapshot main · updated 2026-08-15

Capicua25x/Qwen3.8-27B-MXFP4-Quark-RDNA4

MXFP4 vs BF16

Reference
same checkpoint served in bf16 by a cloud provider (ref)
Eval data
AA class-A paired items: GSM8K, IFEval, AA-LCR, GPQA-Diamond, AIME'25, tau2, MMLU-Pro, Terminal-Bench hard, HLE (n in row labels)
Context
not stated
Tool
AMD Quark MXFP4, seed 1234, on-spec sampling, thinking ON except nothink rows

Card snapshot main · updated 2026-08-25

cdiamond/Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF

GGUF other or no reference

Reference
none (perplexity only)
Eval data
short WikiText-2 control
Context
not stated
Tool
llama.cpp (llama-imatrix for calibration)

Card snapshot main · updated 2026-08-17

Chungulus/Qwen3.8-27B-EXL3

EXL3 reference not stated

Reference
not stated (full-vocabulary held-out comparison, reference presumably unquantized)
Eval data
held-out comparison, 512 token positions
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-FP8

FP8 reference not stated

Reference
not stated (full-vocabulary held-out comparison, presumably vs source model)
Eval data
held-out comparison on 64 token positions; calibration corpus CC0 authored for project, 216 text/tool + 8 vision samples (None used for FP8 build)
Context
not stated
Tool
GPTQModel FP8 (float8_e4m3fn, RTN fallback config), RTX 4070 12 GB

Card snapshot main · updated 2026-08-18

Chungulus/Qwen3.8-27B-GPTQ-INT4-G128

GPTQ reference not stated

Reference
not stated
Eval data
full-vocabulary held-out comparison on 512 token positions; calibration corpus 128 samples (core.jsonl:128), original CC0 material
Context
calibration sequence length 2048
Tool
GPTQModel 7.3.4+

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-GPTQ-INT4-G32

GPTQ reference not stated

Reference
not stated (held-out comparison of full-vocabulary logits; presumably unquantized)
Eval data
not stated (held-out)
Context
512 token positions
Tool
full-vocabulary held-out comparison; GPTQModel quantizer

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-GPTQ-INT8

GPTQ reference not stated

Reference
not stated (full-vocabulary comparison, presumably against the base model)
Eval data
held-out comparison; calibration corpus original CC0 material, 128 samples (calibration/core.jsonl:128)
Context
512 token positions; calibration seqlen 2048
Tool
GPTQModel 7.3.4+, GPTQ 8-bit group size 128 desc_act

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-MLX-3bit-Group32

MLX vs BF16

Reference
BF16 (fixed-logit comparison)
Eval data
fixed original text, 106 positions, not a public benchmark
Context
not stated (longest validation prompt 73 tokens)
Tool
mlx-vlm 0.6.1 validation_result.json

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-MLX-4bit

MLX reference not stated

Reference
not stated (semantic similarity proxy against reference outputs)
Eval data
short validation prompts, longest 73 prompt tokens
Context
73 prompt tokens longest
Tool
mlx-vlm 0.6.1, validation_result.json; calibration none

Card snapshot main · updated 2026-08-15

Chungulus/Qwen3.8-27B-MLX-4bit-Group32

MLX vs BF16

Reference
BF16 fixed logits
Eval data
fixed original text, 106 positions (not a public benchmark)
Context
longest validation prompt 73 tokens
Tool
mlx-vlm 0.6.1

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-MLX-5bit-Group128

MLX vs BF16

Reference
BF16 fixed-logit comparison, float16-stored log-probs after float32 log-softmax
Eval data
fixed original text, 106 positions (not a public benchmark)
Context
not stated (longest validation prompt 73 tokens)
Tool
mlx-vlm 0.6.1, MLX affine 5-bit group 128, no calibration

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-MLX-5bit-Group32

MLX vs BF16

Reference
BF16 fixed-logit comparison
Eval data
fixed original text, 106 positions; not a public benchmark
Context
longest validation prompt 73 prompt tokens
Tool
mlx-vlm 0.6.1; MLX affine 5-bit group size 32, no calibration; BF16 log-probs stored in float16 after float32 log-softmax

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-MLX-6bit-Group32

MLX vs BF16

Reference
BF16 fixed logits
Eval data
fixed original text, 106 positions, not a public benchmark
Context
longest validation prompt 73 tokens
Tool
mlx-vlm 0.6.1, MLX affine 6-bit group 32

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-MLX-8bit-Group32

MLX vs BF16

Reference
BF16 fixed-logit comparison on fixed original text, 106 positions; BF16 log-probs stored as float16
Eval data
fixed original text, not a public benchmark
Context
not stated
Tool
mlx-vlm 0.6.1 validation_result.json

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-MLX-MXFP8

MLX reference not stated

Reference
not stated
Eval data
not stated (validation prompts, longest 73 prompt tokens)
Context
73 prompt tokens longest validated
Tool
mlx-vlm / mlx-mtp, MXFP8 8-bit group 32, no calibration

Card snapshot main · updated 2026-08-15

Chungulus/Qwen3.8-27B-MLX-oQ4e-MTP

MLX reference not stated

Reference
not stated (baseline vs candidate validation prompts)
Eval data
oMLX oQe packaged multilingual/code/tool/reasoning calibration corpus; short validation prompts (longest 73 tokens)
Context
73 prompt tokens longest
Tool
oMLX / vllm-mlx native MTP

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-MLX-oQ5

MLX vs BF16

Reference
BF16 fixed-logit comparison
Eval data
fixed original text, 106 positions (not a public benchmark)
Context
short; longest validation prompt 73 tokens
Tool
oMLX / MLX-VLM logit scorer

Card snapshot main · updated 2026-08-16

Chungulus/Qwen3.8-27B-MLX-oQ8

MLX vs BF16

Reference
BF16 log-probabilities of Qwen3.8-27B (stored float16 after float32 log-softmax)
Eval data
fixed original text, 106 positions, not a public benchmark
Context
longest validation prompt 73 tokens
Tool
MLX-VLM logit scorer / oMLX validation

Card snapshot main · updated 2026-08-16

cloudnathan5/Qwen3.8-27B-NVFP4a16-GPTQ

NVFP4 vs BF16

Reference
Qwen/Qwen3.8-27B BF16 measured through vLLM with identical settings
Eval data
wikitext-2-raw-v1 (test), 48 non-overlapping 4096-token windows, 196,560 tokens scored
Context
4096
Tool
GPTQ NVFP4 weights with BF16 activations; vLLM 0.27.1

Card snapshot main · updated 2026-08-14

cloudnathan5/Qwen3.8-27B-NVFP4a4-FP8-GPTQ

NVFP4 vs BF16

Reference
Qwen/Qwen3.8-27B (BF16)
Eval data
wikitext-2-raw-v1 test, 48 non-overlapping 4096-token windows (196,560 tokens scored)
Context
4096-token windows
Tool
vLLM with identical settings for both rows

Card snapshot main · updated 2026-08-14

cloudnathan5/Qwen3.8-27B-NVFP4a4-GPTQ

NVFP4 vs BF16

Reference
Qwen/Qwen3.8-27B (BF16), same vLLM settings
Eval data
wikitext-2-raw-v1 (test), 48 non-overlapping windows, 196,560 tokens scored
Context
4096-token windows
Tool
token-level perplexity through vLLM

Card snapshot main · updated 2026-08-14

CodeMasterCody3D/taardis-27b-full-ternary

other reference not stated

Reference
not stated (card says a comparison against the FP16 teacher is outstanding [L224-225])
Eval data
wikitext test (wiki.test.raw)
Context
c512, 274 chunks
Tool
llama-perplexity (TAARDIS llama.cpp fork)

Card snapshot main · updated 2026-09-27

cometkim/Qwen3.8-27B-nvfp4full-NInfer

NVFP4 other or no reference

Reference
task benchmarks (no KLD/PPL); gated against official artifact on GPQA-Diamond [L304]
Eval data
GPQA-Diamond, AIME 2026, LongBench v2
Context
native 262,144 (INT8 group-64 KV); 524,288 / 786,432 with YaRN
Tool
NInfer v3 fork engine, RTX 5090, thinking, temp 0.6 top_p 0.95 top_k 20, 3 seed rounds

Card snapshot main · updated 2026-09-16

curvedinf/Qwen3.8-27B-GPTQ-INT8-W8A8-GS128

GPTQ other or no reference

Reference
gs32 reference checkpoint (not BF16)
Eval data
not stated
Context
not stated
Tool
teacher-forced KL-divergence sweep over 6 precision configurations

Card snapshot main · updated 2026-08-26

CySpiegel/Qwen3.8-27B-Int4-AutoRound

AutoRound other or no reference

Reference
FP8 online per-tensor W8A16 build of the same base model
Eval data
HumanEval, HumanEval+, GSM8K 5-shot (raw-completions harness)
Context
not stated
Tool
vLLM, greedy decoding, thinking disabled

Card snapshot main · updated 2026-08-26

dancinlab/Qwen3.8-27B-Uncensored-GGUF

GGUF other or no reference

Reference
official Qwen/Qwen3.8-27B-FP8 (Base FP8)
Eval data
MMLU 0-shot n=300, MMLU-Pro n=250, GSM8K n=150, CMMLU n=500; imatrix on English+Chinese text
Context
not stated
Tool
vLLM serving of the abliterated build; llama.cpp for GGUFs

Card snapshot main · updated 2026-08-21

Davidmg0815/Qwen3.8-27B-MTP-GGUF

GGUF other or no reference

Reference
BF16 variant of Qwen3.8-27B (no external reference logits; pass-rate comparison across variants)
Eval data
HumanEval+ (164 tasks, execution-checked), MATH-500 (150 tasks)
Context
16K-97K context; MATH-500 24k token budget headline
Tool
llama-server with custom bench scripts (bench_humaneval.py, bench_mathe.py)

Card snapshot main · updated 2026-09-27

dbirks/Qwen3.8-27B-NVFP4-AutoRound

NVFP4 vs BF16

Reference
BF16 base Qwen3.8-27B
Eval data
GSM8K full 1319, HumanEval pass@1 instruct, MMLU-Pro 100 questions per subject
Context
not stated
Tool
EleutherAI lm-evaluation-harness, thinking mode, temp 1.0, top-p 0.95, top-k 20

Card snapshot main · updated 2026-08-15

dbirks/Qwen3.8-27B-W4A16-AutoRound

AutoRound vs BF16

Reference
BF16 base
Eval data
GSM8K full 1319 thinking; HumanEval pass@1 instruct; MMLU-Pro 100 questions/subject thinking; quantization calibration NeelNanda/pile-10k, 128 samples
Context
seqlen 2048 for calibration
Tool
EleutherAI lm-evaluation-harness; AutoRound W4A16

Card snapshot main · updated 2026-08-15

ddalcu/Qwen3.8-27B-MLX-Serve-6bit

MLX vs BF16

Reference
bf16
Eval data
64 held-out windows x 32 sampled positions (2048 distributions), no imatrix calibration for this build
Context
not stated
Tool
MLX affine quantization, group size 64; mlx-serve

Card snapshot main · updated 2026-09-29

ddalcu/Qwen3.8-27B-MLX-Serve-iQ-MLX-3.8bpw

MLX vs BF16

Reference
bf16 source
Eval data
32 held-out windows never seen in calibration corpus, 16 sampled positions each (512 positions)
Context
not stated
Tool
llmprobe (decode bench); top-1/KL tool not named

Card snapshot main · updated 2026-08-19

dealignai/Bonsai-2-27B-1bit-CRACK-GGUF

GGUF other or no reference

Reference
base PTQ1_0 ternary quant (prism-ml/Ternary-Bonsai-2-27B-gguf)
Eval data
MMLU n=2,280 (40 questions x 57 subjects, next-token letter-logit); HarmBench-320 refusal
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-09-18

dealignai/Bonsai-2-27B-Ternary-CRACK-GGUF

GGUF other or no reference

Reference
base ternary PQ2_0 quant (PrismML Bonsai 2 27B)
Eval data
MMLU n=2,280 (40 questions x 57 subjects), next-token letter-logit; HarmBench-320 for refusal
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-09-18

dealignai/Qwen3.8-27B-JANG_2D-CRACK

other other or no reference

Reference
base vs CRACK on identical harness (benchmark deltas, no KL/PPL)
Eval data
MMLU 57-subject logit mode; HarmBench harm-240
Context
not stated
Tool
MLX runtime

Card snapshot main · updated 2026-09-08

dealignai/Qwen3.8-27B-JANG_4D-CRACK

other other or no reference

Reference
unmodified base model on the identical harness (MMLU base vs CRACK)
Eval data
MMLU 57-subject logit mode; HarmBench harm-240 thinking-off
Context
not stated
Tool
MLX runtime

Card snapshot main · updated 2026-09-08

dealignai/Qwen3.8-27B-JANG_6D-CRACK

other other or no reference

Reference
Base (unmodified model at the same quant level), identical harness
Eval data
MMLU 57-subject (logit mode); HarmBench harm-240
Context
not stated
Tool
MLX runtime; strict code/chemistry-aware classifier for HarmBench

Card snapshot main · updated 2026-09-08

dealignai/Qwen3.8-27B-MXFP8-CRACK

MXFP8 other or no reference

Reference
base model (unmodified) on identical harness
Eval data
MMLU 57-subject (logit mode); HarmBench harm-240
Context
not stated
Tool
MLX runtime

Card snapshot main · updated 2026-09-04

Derpyhue/Qwen3.8-27B-abliterated-2.55bpw-SC-SH

other vs BF16

Reference
abliterated BF16 (Huihui-Qwen3.8-27B-abliterated), not the original Qwen model
Eval data
not stated for measurement; calibration traces from this model, 217 rows x 2048 columns
Context
not stated
Tool
EXL3 with sc_optimize; KL measured against abliterated BF16

Card snapshot main · updated 2026-10-14

Derpyhue/Qwen3.8-27B-abliterated-2.60bpw-SC-SH

other vs BF16

Reference
Abliterated BF16 (Huihui-Qwen3.8-27B-abliterated)
Eval data
not stated for the KLD/PPL eval; quantization calibration used traces from this model (217 rows x 2048 columns)
Context
not stated
Tool
not stated (EXL3 quilter with sc_optimize, scaled-Hessian)

Card snapshot main · updated 2026-10-14

Derpyhue/Qwen3.8-27B-abliterated-2.65bpw-SC-SH

other vs BF16

Reference
abliterated BF16 (Huihui-Qwen3.8-27B-abliterated), not the stock Qwen model
Eval data
not stated (calibration traces 217 rows x 2048 columns from this model)
Context
not stated
Tool
ExLlamaV3 sc_optimize with scaled-Hessian (-sh)

Card snapshot main · updated 2026-10-14

Derpyhue/Qwen3.8-27B-exl3-2.70bpw-SC-SH

EXL3 vs BF16

Reference
BF16 original
Eval data
not stated
Context
not stated
Tool
not stated (EXL3 quilter with sc_optimize, -sh scaled Hessian)

Card snapshot main · updated 2026-10-12

Derpyhue/Qwen3.8-27B-exl3-2.80bpw-SC

EXL3 vs BF16

Reference
BF16 original
Eval data
not stated
Context
not stated
Tool
EXL3 with sc_optimize noise-attribution bitrate allocation

Card snapshot main · updated 2026-10-12

deucebucket/Qwen3.8-27B-Cerebellum-GGUF

GGUF other or no reference

Reference
none (benchmarks, self-reported)
Eval data
ARC-Challenge, HellaSwag, MMLU-Redux, HumanEval/HumanEval+, perplexity 145 chunks
Context
512 for perplexity; server -c 24576
Tool
llama-server -ngl 99 --parallel 4 --jinja

Card snapshot main · updated 2026-09-01

dfed24/Qwen3.8-27B-GPTQ-GGUF

GGUF vs BF16

Reference
bf16 model (PyTorch evaluator, L29-30); unsloth Q8_0 file for the llama.cpp check (L38)
Eval data
held-out wiki, code, multilingual sets
Context
6 windows of 2,048 tokens per set
Tool
PyTorch evaluator; llama-perplexity --kl-divergence (CPU build)

Card snapshot main · updated 2026-10-13

drawthingsai/Qwen3.8-27B-GGUF

GGUF vs BF16

Reference
Qwen3.8-27B-BF16 benchmark scores
Eval data
AIME 2026, GPQA Diamond, IFEval (prompt_level_strict), BFCL v4 1K (1,002 examples, no Web Search)
Context
not stated
Tool
drawthingsai/benchmarks runner with evalscope 1.11.0 and llama-server, profile qwen3.8-thinking.json

Card snapshot main · updated 2026-09-13

DuoNeural/Qwen3.8-27B-TAP-DPQ-v2-GGUF

GGUF vs BF16

Reference
BF16 uncompressed model (Vanilla_BF16 reference)
Eval data
Wikitext-2 holdout perplexity; GSM8K N=100, HumanEval N=50, tool calling N=15; academic suite N=40 per task; imatrix calibration CodeInfused-v2
Context
not stated
Tool
llama.cpp CUDA backend on NVIDIA A100 80GB PCIe

Card snapshot main · updated 2026-09-30

eaddario/Qwen3.8-27B-GGUF

GGUF other or no reference

Reference
F16 GGUF baseline (logits saved)
Eval data
wikitext-2-raw-v1 (PPL/KLD); ARC, GPQA-Diamond, HellaSwag, MMLU-Redux, Truthful QA, WinoGrande 750 tasks each
Context
1024 tokens for benchmark scores; PPL ctx not stated
Tool
llama-perplexity

Card snapshot main · updated 2026-08-23

EliovpAI/Qwen3.8-27B-W3Rot-INT3-Paiton-RDNA4

other vs BF16

Reference
bf16 Qwen3.8-27B (KL(bf16 || 3-bit) of next-token distribution)
Eval data
115 held-out chats, code, etc.; 22 long documents 8K-32K; 5 documents of 131K; 1,400-question MMLU-Pro subset
Context
up to 131K-token documents
Tool
Paiton image / vLLM plugin; MI355X reproduction and R9700 served

Card snapshot main · updated 2026-10-12

empero-ai/Qwen3.8-27B-Ridge-GGUF

GGUF vs BF16

Reference
BF16 GGUF converted by the author from the official checkpoint
Eval data
wiki-style calibration file, 80 chunks
Context
-c 512 -b 512
Tool
llama-perplexity

Card snapshot main · updated 2026-08-15

EschaLabs/Qwen3.8-27B-Escha-W2

other other or no reference

Reference
same base model served as FP8 on same SGLang fork
Eval data
Commonsense-6 (full sets, thinking off); GPQA-Diamond n=198 and LiveCodeBench v6 2025 cut n=182 (thinking on, 28k budget)
Context
not stated
Tool
SGLang fork runtime, lm-eval style benchmarks

Card snapshot main · updated 2026-09-02

fasolack/Qwen3.8-27b-W4A16

INT4 other or no reference

Reference
dbirks/Qwen3.8-27B-W4A16-AutoRound reference build numbers (author did not measure own BF16 baseline)
Eval data
GSM8K, HumanEval (pass@1), MMLU-Pro (100/subject)
Context
GSM8K and MMLU-Pro 5-shot fewshot-as-multiturn; HumanEval temperature=1.0 n=1 and greedy
Tool
EleutherAI lm-evaluation-harness against vLLM served endpoint

Card snapshot main · updated 2026-09-16

FedericoSciuca/Qwen3.8-27B-depthaware-GGUF

GGUF vs a Q8_0

Reference
Q8_0 reference build (PPL baseline)
Eval data
held-out WikiText-2, 32 chunks
Context
not stated
Tool
quantprobe / llama.cpp perplexity

Card snapshot main · updated 2026-10-07

finalvent/OddEye-0.1-27B-NVFP4

NVFP4 vs BF16

Reference
Original Qwen3.8-27B BF16 and a publicly distributed generic NVFP4 build, same settings incl. MTP speculative decoding
Eval data
100 Japanese street photos (40 unseen), ~15 AI-written reference facts each; graded blind by a Claude model
Context
not stated
Tool
vLLM; custom michiyomi blind evaluation with prompt v5.2c, 8,192-token output cap

Card snapshot main · updated 2026-10-03

fraQtl/Qwen3.8-27B-Hi-Fi-GGUF

GGUF vs a Q8_0

Reference
Q8_0 teacher quantized from the original pinned bf16 checkpoint
Eval data
locked code/math and general slices (pinned eval slice)
Context
not stated
Tool
symmetric top-20 KLD on the teacher support, 3 independent runs, byte-deterministic rig; GSM8K n=200 and MATH-500 n=500 0-shot CoT

Card snapshot main · updated 2026-08-21

Freaksterz/Qwen3.8-27B-SmoothQuant-W8A8-INT8

INT8 vs BF16

Reference
BF16 captured offline with transformers
Eval data
WikiText-2, 240 x 512-token windows = 122,640 positions
Context
512-token windows
Tool
teacher-forced full-vocab KLD (top-K 512 with tail bound), candidates served through vLLM; floor-free paired estimator

Card snapshot main · updated 2026-09-04

Frosty40/Qwen3.8-27B-GGUF

GGUF vs BF16

Reference
full bf16 model
Eval data
three corpora: wikitext-2 prose, real code, real agent transcripts
Context
512-token windows x 8
Tool
KL-divergence on llama.cpp (Intel Arc Pro B70)

Card snapshot main · updated 2026-08-18

GestaltLabs/Qwen3.8-27B-EXL3-11.5GB

EXL3 other or no reference

Reference
Official FP8 Qwen3.8-27B
Eval data
8 frozen prompt-prefix positions per task, 128 tasks (64 dev, 64 acceptance); task accuracy on same 128 tasks
Context
not stated
Tool
full-vocabulary natural-log KL (248,320 columns); greedy argmax decoding, non-thinking, max_new_tokens=512, Docker sandbox

Card snapshot main · updated 2026-09-09

gittensor-model-hub/Qwen3.8-27B-NVFP4-RTX5090

NVFP4 reference not stated

Reference
not stated (head-to-head vs other NVFP4 builds, same harness)
Eval data
GPQA Diamond (198), AIME 2025 (30), MMLU-Pro (100), AA-LCR (100 q @ ~95K tok)
Context
32,768-token budget
Tool
NVIDIA Model Optimizer; vLLM on one RTX 5090, temp 1.0, top_k 20, top_p 0.95

Card snapshot main · updated 2026-09-10

glyd/Qwen3.8-27B-kestrel

other vs BF16

Reference
bf16 original (commit 1d4bf0f2)
Eval data
WikiText-2 (KL); GSM8K 10-shot, 1319 questions, non-thinking
Context
not stated
Tool
glyd serve with Inspect AI 0.3.278 (inspect_evals 0.24.0); bf16 served by vLLM

Card snapshot main · updated 2026-10-10

glyd/Qwen3.8-27B-penguin

other vs BF16

Reference
bf16 original
Eval data
WikiText-2
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-10-10

glyd/Qwen3.8-27B-swift

other vs BF16

Reference
bf16 original
Eval data
WikiText-2 (KL); GSM8K 10-shot 1319 questions non-thinking
Context
not stated
Tool
glyd serve with Inspect AI 0.3.278 / inspect_evals 0.24.0; bf16 served by vLLM

Card snapshot main · updated 2026-10-10

gratex/Qwen3.8-27B-W4A16-g128-sym-GPTQ

GPTQ vs BF16

Reference
BF16 base
Eval data
wikitext-2-raw-v1 test, 100 non-overlapping chunks (24,426 scored tokens); downstream via lm-evaluation-harness v0.4.12
Context
512 tokens per chunk
Tool
vLLM completions API with logprobs; KLD via sparse top-20 logprob approximation

Card snapshot main · updated 2026-09-03

greghavens/Qwen3.8-27B-bnb-4bit

bitsandbytes vs BF16

Reference
bf16 base, paired (identical prompts, order, greedy, pinned batch size)
Eval data
wikitext-2; IFEval 541 prompts; BFCL v4 all 13 single-turn categories 3641 prompts; NoveltyBench NB-Curated 100 prompts k=10
Context
4096-token windows for perplexity
Tool
bitsandbytes NF4 (data-free), same harness for bf16; thinking disabled

Card snapshot main · updated 2026-09-04

gubernac/qwen3.8-27b-unc-fp8

FP8 other or no reference

Reference
official Qwen/Qwen3.8-27B-FP8 served identically, same scripts and settings
Eval data
MMLU (300), MMLU-Pro CoT (250), GSM8K CoT (150), CMMLU (500); WikiText-2-raw PPL
Context
not stated
Tool
vLLM, block-FP8 + FP8 KV + MTP

Card snapshot main · updated 2026-08-16

guideboardlabs/Qwen3.8-27B-Q3-DOWN-XS-GGUF

GGUF other or no reference

Reference
UD-IQ3_XXS 3-bit control (no bf16 anchor built)
Eval data
wikitext-2-raw-v1 test set
Context
8 x 512 chunks, batch 128
Tool
llama.cpp llama-perplexity, Vulkan, RX 5700 XT

Card snapshot main · updated 2026-08-21

Hent-AI/Qwen3.8-27B-EXL3-1.14514bpw

EXL3 reference not stated

Reference
not stated (no bf16 comparison; absolute scores only)
Eval data
6 benchmarks (MMLU-Redux, MuSR, GSM8K, HumanEval+, IFEval, BFCL v3) plus custom 0-shot Japanese set of 8,245 questions (JCommonsenseQA, JNLI, JSQuAD, MGSM-ja)
Context
not stated
Tool
EvalScope 1.12.0 / ExLlamaV3 1.5.3

Card snapshot main · updated 2026-10-06

HermiHg/Qwen3.8-27B-mmproj-Q5_K-MIX-GGUF

GGUF vs BF16

Reference
BF16 mmproj projector
Eval data
11 vision benchmarks, 5,251 paired documents (TextVQA, OCRBench-v2, GQA, ScienceQA, MMStar, ChartQA, five BLINK categories)
Context
not stated
Tool
llama-server + lmms-eval, temperature 0, 24 GB NVIDIA GPU

Card snapshot main · updated 2026-09-01

HivenetQuant/Qwen3.8-27B-NVFP4

NVFP4 other or no reference

Reference
original FP16 weights, paired head-to-head, identical prompts/harness/decoding
Eval data
mmlu_pro, gpqa_diamond, aime25, ifeval, mmmu_pro, ai2d, livecodebench v6, bfcl, niah, mtp accept rate
Context
256k max context, FP8 KV cache
Tool
vLLM serve config in card; harness details in REPRODUCIBILITY.md

Card snapshot main · updated 2026-08-25

huginnfork/Qwen3.8-27B-FP8

FP8 vs BF16

Reference
bf16 Qwen/Qwen3.8-27B
Eval data
KLD: 8 samples from neuralmagic/calibration (LLM split); PPL: wikitext-2-raw test
Context
KLD max_seq=1024; PPL non-overlapping 2048-token chunks
Tool
not stated

Card snapshot main · updated 2026-08-14

huginnfork/Qwen3.8-27B-NVFP4A16

NVFP4 vs BF16

Reference
bf16 Qwen/Qwen3.8-27B
Eval data
KLD: 8 samples from neuralmagic/calibration (LLM split); PPL: wikitext-2-raw test
Context
KLD max_seq=1024; PPL non-overlapping 2048-token chunks
Tool
custom harness, transformers

Card snapshot main · updated 2026-08-14

ilintar/qwen3.8-27b-gguf-strix-halo

GGUF vs BF16

Reference
source BF16 GGUF
Eval data
16 held-out chunks
Context
512-token chunks
Tool
perplexity (small local evaluation, not a general quality benchmark)

Card snapshot main · updated 2026-09-04

inferencerlabs/Qwen3.8-27B-MLX-Q9

MLX vs BF16

Reference
Base (unquantized Qwen3.8-27B)
Eval data
not stated
Context
not stated
Tool
Inferencer app on M3 Ultra, modified MLX

Card snapshot main · updated 2026-08-14

intel-ai/Qwen3.8-27B-MXFP8-CT-AutoRound

MXFP8 vs BF16

Reference
BF16 Qwen/Qwen3.8-27B upstream-reported scores (not re-run)
Eval data
gsm8k 5-shot (chat template), piqa, mmlu, hellaswag 0-shot
Context
max_model_len 8192
Tool
lm-eval 0.4.13 with vllm backend, seed 42, single B300

Card snapshot main · updated 2026-09-21

intel-ai/Qwen3.8-27B-MXFP8-MXFP8MTP-CT-AutoRound

MXFP8 vs BF16

Reference
BF16 Qwen/Qwen3.8-27B (upstream-reported table, not re-run)
Eval data
lm-eval gsm8k 5-shot, piqa, mmlu, hellaswag 0-shot
Context
max_model_len 8192
Tool
lm-eval with vLLM 0.22.1 backend, seed 42, single B200, text tower only, thinking off

Card snapshot main · updated 2026-10-12

ionos/Qwen3.8-27B-GPTQ-Int4

GPTQ vs BF16

Reference
unquantized base (BF16)
Eval data
OmniDocBench, MathVista, MMMU, V*Bench, MMLU-Pro, MMLU-DE, BFCL, IFEval
Context
not stated
Tool
paired comparisons, same prompts and settings, greedy decoding

Card snapshot main · updated 2026-09-24

ISTA-DASLab/Qwen3.8-27B-3Bit-GSQ

other other or no reference

Reference
original Qwen/Qwen3.8-27B
Eval data
AIME 2025, GPQA Diamond
Context
not stated
Tool
xhigh thinking enabled for both models

Card snapshot main · updated 2026-08-20

jaakkomoller/Qwen3.8-27B-q3mix-NInfer

other other or no reference

Reference
pure-q4 profile of same model (head-to-head); stored vLLM reference run
Eval data
LiveCodeBench v6 175-problem subset; small quality gate (35 items)
Context
greedy, max 2,000 tokens, single sample
Tool
NInfer

Card snapshot main · updated 2026-09-27

Jackrong/Qwopus3.8-27B-Flash-GGUF

GGUF other or no reference

Reference
Qwen3.8 base comparison (same Q5_K_M + MTP configuration)
Eval data
MMLU-Pro mixed set, 2,500 questions
Context
not stated
Tool
author-provided local results

Card snapshot main · updated 2026-09-10

JANGQ-AI/Qwen3.8-27B-JANG_4D

other vs BF16

Reference
bf16 model
Eval data
held-out text set by topic plus own bf16 reasoning traces (efforts low/medium/xhigh)
Context
not stated
Tool
importance-matrix weighted fit, AWQ folded into norms, GPTQ on MLX grid; KL and top-1 vs bf16

Card snapshot main · updated 2026-10-06

JANGQ-AI/Qwen3.8-27B-JANGH2

other vs BF16

Reference
bf16 model
Eval data
held-out text set by topic; own bf16 reasoning traces (thinking + answer tokens)
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-10-06

jcbtc/Qwen3.8-27B-CIRU-ActiveFPX-PromptForge

other vs BF16

Reference
BF16 Qwen3.8-27B
Eval data
not stated; also locked 20-task HumanEval/EvalPlus panel
Context
not stated
Tool
local matched measurements on one Ryzen AI Max+ 395 / Radeon 8060S

Card snapshot main · updated 2026-08-19

jcbtc/Qwen3.8-27B-IU4-Kairic-Edge

other reference not stated

Reference
not stated (pass counts on tasks; no BF16 reference metric)
Eval data
164-task chat-adapted HumanEval/EvalPlus harness
Context
Kairic 262,144 context with 8 GiB prompt cache; comparison runs 65,536 context
Tool
EvalPlus-based chat-adapted harness, deterministic sampling, one trajectory per task, no repair retry

Card snapshot main · updated 2026-09-24

jclyons52/Qwen3.8-27B-Unsloth-Dynamic-v3-mlx

MLX reference not stated

Reference
not stated (no bf16 anchor; perplexity only)
Eval data
wikitext-2, 64 x 512-token samples, seed 123
Context
512
Tool
not stated; M1 Pro 32 GB

Card snapshot main · updated 2026-08-25

jdominick05/Qwen3.8-27B-24GB-262k-GGUF

GGUF vs a Q8_0

Reference
Q8_0 of the same BF16 weights
Eval data
technical text (decompiler output, C, notes) interleaved with coding-agent transcripts
Context
65,536 tokens (16 x 4,096)
Tool
llama-perplexity --kl-divergence

Card snapshot main · updated 2026-10-13

jialinyyzz/Qwen3.8-27B-abliterated-MLX-4bit

MLX vs BF16

Reference
original Qwen3.8-27B (bf16 master, unabliterated)
Eval data
mlabonne/harmful_behaviors test[:100] (refusals); ARC-Challenge, HellaSwag, Winogrande, OpenBookQA, GSM8K CoT
Context
not stated
Tool
Heretic keyword-refusal scorer; lm-eval-harness loglikelihood, GSM8K generative CoT; measured on bf16 master, not the 4-bit file

Card snapshot main · updated 2026-08-16

jialinyyzz/Qwen3.8-27B-abliterated-MLX-8bit

MLX other or no reference

Reference
original Qwen3.8-27B (pre-abliteration), harmless-prompt first-token distribution for KL
Eval data
ARC-Challenge, HellaSwag, Winogrande, OpenBookQA (loglikelihood), GSM8K CoT generative; refusals on mlabonne/harmful_behaviors test[:100]
Context
not stated
Tool
lm-eval-harness; Heretic refusal scorer

Card snapshot main · updated 2026-08-16

Jianqiao1/Qwen3.8-27b-MoQ-GGUF

GGUF vs BF16

Reference
BF16 logits from original Qwen3.8-27B GGUF
Eval data
WikiText-2 wiki.test.raw
Context
512
Tool
llama.cpp build 10276 (commit 6ea215d17), CUDA, RTX 5090

Card snapshot main · updated 2026-08-17

jkim96/Qwen3.8-27B-DASHQ-Q2-GGUF

GGUF other or no reference

Reference
none (absolute perplexity, no bf16 row)
Eval data
WikiText-2 test; C4 validation (256 x 2048 tokens)
Context
2048
Tool
llama-perplexity

Card snapshot main · updated 2026-10-06

JMVRoill/Qwen3.8-27B-Uncensored-nvfp4-NInfer

NVFP4 other or no reference

Reference
orcarouter FP8 build / base FP8 (not this artifact)
Eval data
MMLU, MMLU-Pro, GSM8K, CMMLU, XSTest-safe (sizes not stated)
Context
not stated
Tool
orcarouter's measurements; NInfer converter

Card snapshot main · updated 2026-09-09

Jon-Nielsen/Qwen3.8-27B-exl3-4.00bpw

EXL3 reference not stated

Reference
not stated (absolute perplexity only)
Eval data
PPL (40K tech)
Context
16K-token prompt / 512 gen, 262K context config, Q6 KV
Tool
ExLlamaV3 EXL3, RTX PRO 6000, vision disabled, MTP draft

Card snapshot main · updated 2026-08-14

Jon-Nielsen/Qwen3.8-27B-exl3-6.00bpw

EXL3 reference not stated

Reference
not stated
Eval data
40K tech text (PPL)
Context
16K-token prompt / 512 gen, Q6 KV, 262K context config
Tool
ExLlamaV3 on RTX PRO 6000

Card snapshot main · updated 2026-08-14

JRamirez-UAB/Qwen3.8-27B-EXL3-3.85bpw-24GB

EXL3 vs BF16

Reference
BF16 Qwen3.8-27B
Eval data
internal sysadmin/agent eval set (unpublished) and turboderp's public qbench_prompts_gen.json
Context
not stated
Tool
exllamav3 qbench (GPTQ evaluated as BF16 copy of dequantized weights)

Card snapshot main · updated 2026-10-16

JRamirez-UAB/Qwen3.8-27B-GPTQ-W4A16-embed-int4-24GB

GPTQ vs BF16

Reference
BF16 Qwen3.8-27B
Eval data
internal sysadmin/agent eval set (unpublished) and turboderp's public qbench_prompts_gen.json
Context
not stated
Tool
exllamav3 qbench (GPTQ evaluated as BF16 copy of dequantized weights)

Card snapshot main · updated 2026-10-14

juzbox/Qwen3.8-27B-NVFP4-GDN

NVFP4 vs BF16

Reference
BF16 original Qwen/Qwen3.8-27B
Eval data
KL: 35,328 positions, ja/en/c... (truncated in candidate); GSM8K 300, BFCL v3 1,000
Context
not stated
Tool
vLLM v0.29.0 and a custom inference engine

Card snapshot main · updated 2026-10-11

kacaforyah/Opti-27B

other other or no reference

Reference
Qwen3.8-27B 16-bit original (F16 logits)
Eval data
wikitext-2 test (also C4, Python stdlib, Pride and Prejudice); MMLU-Pro 12,032 items
Context
1,024-token windows, 96 windows (64 for paired KLD)
Tool
llama-perplexity (Opti runtime patch on llama.cpp)

Card snapshot main · updated 2026-09-30

kaushikvira/Qwen3.8-27B-nvfp4full-dflash2-NInfer-v3

NVFP4 reference not stated

Reference
not stated
Eval data
IFBench prompt-strict and GSM8K-200 (family table); repo gate probes (needle, tool calls)
Context
262,144 context for gate run
Tool
repo gate.sh and perf.py; llama-benchy for speed

Card snapshot main · updated 2026-09-26

kaushikvira/Qwen3.8-27B-swift15-nvfp4full-dflash2-NInfer-v3

NVFP4 other or no reference

Reference
no BF16 reference; same-session A/B vs the publisher's Swift-1.0-abliterated build, temp 0, no cache reuse
Eval data
IFBench (n=300), GSM8K-200; quantization calibration 512 Ultrachat samples
Context
2048 (calibration seq)
Tool
llm-compressor NVFP4; NInfer engine

Card snapshot main · updated 2026-10-04

kaushikvira/Qwen3.8-27B-thinkingcap-nvfp4full-dflash2-NInfer-v3

NVFP4 other or no reference

Reference
Swift-1.5 production artifact (same engine build, same session A/B); upstream base Qwen3.8-27B for BottleCap's own eval
Eval data
GSM8K-200, IFBench (n=300)
Context
not stated
Tool
NInfer engine, temp 0, single RTX 5090, fresh generations, no cache reuse

Card snapshot main · updated 2026-10-04

kayceesamuel/Qwen3.8-27B-NF4DQ

bitsandbytes vs BF16

Reference
BF16 PPL 6.9530 as the reference row
Eval data
wikitext-2, full test file
Context
512
Tool
NF4DQ llama.cpp fork, A100-80GB

Card snapshot main · updated 2026-08-31

kdqemre/Qwen3.8-27B-RQ2_K_L-GGUF

GGUF other or no reference

Reference
Q5_K_M baseline (accuracy comparison, no BF16 reference)
Eval data
GSM8K-100, 8-shot, Exact Match
Context
not stated
Tool
greedy decode, MTP off, RTX 4090 power-limited to 150W; author's llama.cpp fork

Card snapshot main · updated 2026-08-22

kekzle/Qwen3.8-27B-NVFP4-vllm

NVFP4 other or no reference

Reference
none stated (absolute values)
Eval data
ppl_corpus_45k.txt (13.5k tokens); degen_suite.py 45 checks
Context
not stated
Tool
imp 0.27, RTX 5090, batch 1, greedy

Card snapshot main · updated 2026-08-31

kingjones777/Qwen3.8-27B-ROCmFP4-STRIX-MTP-GGUF

GGUF other or no reference

Reference
perplexity only, compared against Q4_K_M reference; no KLD
Eval data
held-out wikitext-2
Context
2048, 40 chunks
Tool
llama.cpp (ROCmFPX fork)

Card snapshot main · updated 2026-09-01

kirillbilchenko/Qwen3.8-27B-MXFP4-MxWave

MXFP4 vs BF16

Reference
BF16 source Qwen/Qwen3.8-27B (pinned revision)
Eval data
WikiText-2 raw test: 316 windows of 4,096 characters, 297,199 scored tokens (PPL); 128 held-out WikiText contexts up to 512 tokens, full 248,320 vocab (KL); GSM8K 100-example 5-shot pilot
Context
up to 512 tokens for KL; 4,096-character windows for PPL
Tool
MxWave H64 block-Hessian MXFP4; calibration 64 sequences of 512 tokens from pile_val_test

Card snapshot main · updated 2026-09-16

kirillbilchenko/Qwen3.8-27B-MxWave-MXFP4-FP8

MXFP4 vs BF16

Reference
BF16 source
Eval data
WikiText-2 prompt PPL (316 windows of 4,096 characters, 297,199 scored tokens); untouched 96-context distribution holdout; GSM8K full 1,319 five-shot
Context
4,096-character windows; GSM8K 1,024 max generated tokens, greedy
Tool
lm-evaluation-harness 0.4.13

Card snapshot main · updated 2026-09-19

komeijishiki/Qwen3.8-27B-EXL3-SC-3.40bpw-H6-V6

EXL3 reference not stated

Reference
not stated (predicted KLD by recipe; IQ4_XS used as comparison)
Eval data
not stated
Context
not stated
Tool
turboderp ExLlamaV3 v1.4.4 Full SC recipe

Card snapshot main · updated 2026-08-31

lackonendes/PAW-125B-FLASH-NEXT-X3

other other or no reference

Reference
none; absolute scores only, no BF16 comparison (KL vs BF16 parent explicitly unmeasured)
Eval data
MMLU-Pro 500 items, GPQA 198, IFBench-64 (64-item sentinel), HumanEval/HumanEval+ 164, MBPP/MBPP+ 378, GSM8K 100
Context
not stated
Tool
no-think fastgate harness, greedy, max_tokens per benchmark

Card snapshot main · updated 2026-10-03

lackonendes/PAW-27B-GGUF

GGUF other or no reference

Reference
none; peer comparison against two IQ2XXS GGUFs, no bf16 denominator
Eval data
MMLU-Pro (500), GSM8K (100), HumanEval+, MBPP+, IFBench-64 strict (64-item sentinel)
Context
not stated
Tool
byte-identical harnesses on same machine

Card snapshot main · updated 2026-10-02

lackonendes/PAW-27B-X3-GGUF

GGUF other or no reference

Reference
Q8 parent (author's own run); KL vs Q8 parent for X3.1 comparison
Eval data
MMLU-Pro /500, IFBench /64 sentinel, HumanEval /164, MBPP /378, GSM8K /100; KL on code (chat-framed and raw)
Context
not stated
Tool
llama-bench for speed; llama-paw build; one RTX 3090, byte-identical harnesses

Card snapshot main · updated 2026-10-02

lackonendes/PAW-27B-X3.1-GGUF

GGUF vs BF16

Reference
published BF16 Base column from the Qwen/Qwen3.8-27B card (not rerun by author)
Eval data
AIME 2026, GPQA-Diamond, MMLU-Pro, LiveCodeBench v6, IFBench
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-10-02

Launch80/Qwen3.8-27B-PARO-int5

other vs BF16

Reference
bf16 served on the same stack
Eval data
wikitext, 96 x 500-char chunks (KL); GSM8K 500q greedy
Context
not stated
Tool
KL(bf16 || candidate) top-5 and top-256, 2 x R9700 TP=2, fp8 KV

Card snapshot main · updated 2026-09-12

leonsarmiento/Qwen3.8-27B-3bit-mlx

MLX other or no reference

Reference
vanilla uniform 4-bit mlx-community/Qwen3.8-27B-4bit (no BF16 reference)
Eval data
MMLU and MMLU_PRO, 50-question samples each, instruct mode
Context
not stated
Tool
oMLX (Engine Auto, Context Code/Python)

Card snapshot main · updated 2026-08-18

leonsarmiento/Qwen3.8-27B-3bit-mtp-mlx

MLX reference not stated

Reference
not stated
Eval data
MMLU 100/14042, MMLU_PRO 100/12032, HUMANEVAL 50/164, MBPP 50/500 (sampled)
Context
not stated
Tool
oMLX v0.6.1, instruct mode (thinking off)

Card snapshot main · updated 2026-09-09

libertyhhn/Qwen3.8-27B-GPTQ-W4A16-g128

GPTQ vs BF16

Reference
Dense bf16 of same model, same pipeline
Eval data
wikitext-2 test (12 windows of 2,048 tokens); MMLU up to 512 questions per subject (12,233 total, no chat template); GSM8K full test 1,319, flexible-extract, chat template, thinking off
Context
2,048-token windows for perplexity
Tool
vLLM 0.31.0 and lm-eval 0.4.13, bf16 activations

Card snapshot main · updated 2026-10-10

Litwein/Qwen3.8-27B-oQ4e-DWQ-MTP-Vision-MLX

MLX other or no reference

Reference
oQ8e teacher made from the same base model (not BF16) for the held-out table; teacher itself is 0.019 KL vs bf16 base
Eval data
held-out calibration distribution (code/agent heavy mix, 62.5% agent + code)
Context
512-token windows
Tool
KL over teacher's top-1024 logits at temperature 2.0 (DWQ objective); oMLX

Card snapshot main · updated 2026-08-23

lmcoleman/Qwen3.8-27B-MagicQuant-GGUF

GGUF vs BF16

Reference
BF16 baseline perplexity 6.7443
Eval data
wikitext-2
Context
512, 100 chunks
Tool
perplexity measurement during MagicQuant search

Card snapshot main · updated 2026-08-20

lmcoleman/Qwen3.8-27B-ROCmFPX-GGUF

GGUF vs BF16

Reference
BF16 baseline PPL 6.7443
Eval data
wikitext-2
Context
512, 100 chunks
Tool
ciru-ai/ROCmFPX llama.cpp fork, MagicQuant methodology

Card snapshot main · updated 2026-08-16

Lottolabs/Qwen3.8-27B-TT-Mixed-BFP4-BFP8-P150

NVFP4 vs BF16

Reference
two tables: TT all-BFP8 build (same runtime) and CPU BF16 reference
Eval data
34-record eval set (14 multi-turn chats, 12 Python files, 8 instructions), 42,129 scored positions; teacher-forced on P150
Context
not stated for checkpoint tables; 32K-262K for KV-cache table
Tool
teacher-forced device runs on Tenstorrent P150

Card snapshot main · updated 2026-10-06

lribeiro/Qwen3.8-27B-FP8-Pessoa

FP8 other or no reference

Reference
BF16 Qwen3.8-27B (shared BF16 LM head replay)
Eval data
fidelity suite v3, 136 contexts, 278,392 scored positions (calibration: malaiwah/qwen38-27b-fidelity-suite-v3, 181 contexts)
Context
2048 tokens
Tool
custom hidden-state KLD harness, two-pass log-sum-exp; llm-compressor GPTQ

Card snapshot main · updated 2026-08-21

Lucebox/Qwen3.8-27B-IQ4_XS-fast-GGUF

GGUF vs a Q8_0

Reference
Q8_0 of Qwen3.8-27B
Eval data
wikitext-2 (300 x 512-token chunks) for KLD/PPL; HumanEval-164 and GSM8K first 200 through serving path
Context
512-token chunks
Tool
llama.cpp paired KL; lucebox serving path with exact-verify speculation

Card snapshot main · updated 2026-09-22

lued/Qwen3.8-27B-INT8-W8A16-DFlash2

INT8 vs BF16

Reference
original BF16 model
Eval data
not stated (TECHNICAL.md holds details)
Context
262K serving
Tool
not stated

Card snapshot main · updated 2026-08-21

lued/Qwen3.8-27B-INT8-W8A16-MTP

INT8 vs BF16

Reference
original BF16 Qwen/Qwen3.8-27B checkpoint (teacher)
Eval data
4,563 teacher-forced positions over 8 short prompts plus a 4,096-token long-context probe (first tokens of the Qwen3.8 model card, 4,095 scored positions)
Context
short prompts; 4,096 tokens for long-context probe
Tool
custom KLD over full 248,320-token vocab, FP32 log_softmax, Hugging Face decompressed path, use_cache=False

Card snapshot main · updated 2026-08-15

machinez/d3-NVFP4

NVFP4 reference not stated

Reference
not stated (task scores of the d3 decision model; no comparison against an unquantized d3)
Eval data
Jev Decision Index 0.3.1 text board, vision board, public vision benchmarks, Perception Test
Context
not stated
Tool
official Jev 0.3 kit

Card snapshot main · updated 2026-10-11

magiccodingman/Qwen3.8-27B-MagicQuant-GGUF

GGUF reference not stated

Reference
not stated (KLD against source Qwen3.8-27B model)
Eval data
not stated
Context
not stated
Tool
MagicQuant benchmark flow (llama.cpp), generic MagicQuant imatrix; six files rebuilt with Unsloth imatrix

Card snapshot main · updated 2026-08-21

maglun/Qwen3.8-27B-MLX-Mixed-3.80bpw

MLX vs BF16

Reference
BF16 text model (measured on a different machine, M4 Pro, for the 2nd table)
Eval data
held-out chat-framed corpus: 6 documents (launch table), 4 documents / 6,057 tokens (2026-10-15 table); HumanEval+ n=8, GSM8K n=12
Context
not stated
Tool
mlx 0.32.3 / mlx-vlm 0.7.6 / mlx-lm 0.32.0, greedy, reasoning_effort=low, 8192-token cap, Apple M5 Pro 64 GB

Card snapshot main · updated 2026-10-15

maglun/Qwen3.8-27B-MLX-Mixed-4.95bpw

MLX vs BF16

Reference
BF16 text source
Eval data
held-out chat-framed corpus of 4 documents / 6,057 tokens (PPL); HumanEval+ n=8; GSM8K n=12
Context
not stated
Tool
mlx / mlx-vlm / mlx-lm, greedy decoding, reasoning_effort=low, 8,192-token cap

Card snapshot main · updated 2026-10-15

mahadev9/Qwen3.8-27B-fp8

FP8 vs BF16

Reference
bf16 baseline
Eval data
prose = WikiText-2; agentic = tool-calling turns (schema + query + call) rendered with chat template
Context
seq len 2048
Tool
not stated

Card snapshot main · updated 2026-09-05

majentik/Qwen3.8-27B-MLX-2bit

MLX reference not stated

Reference
not stated
Eval data
arc_easy, hellaswag
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-08-15

majentik/Qwen3.8-27B-MLX-3bit

MLX reference not stated

Reference
not stated
Eval data
arc_easy, hellaswag (sample counts not stated)
Context
not stated
Tool
mlx_lm.convert 0.31.3 (affine 3-bit, group 32)

Card snapshot main · updated 2026-08-15

majentik/Qwen3.8-27B-MLX-4bit

MLX other or no reference

Reference
none stated
Eval data
arc_easy, hellaswag (sample size not stated)
Context
not stated
Tool
not stated (mlx-lm 0.31.3 used for conversion)

Card snapshot main · updated 2026-08-15

majentik/Qwen3.8-27B-MLX-5bit

MLX other or no reference

Reference
none
Eval data
arc_easy, hellaswag
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-08-15

majentik/Qwen3.8-27B-MLX-6bit

MLX reference not stated

Reference
not stated
Eval data
arc_easy and hellaswag (limited sample suggested by round scores)
Context
not stated
Tool
not stated (mlx_lm.convert for quantization)

Card snapshot main · updated 2026-08-15

majentik/Qwen3.8-27B-MLX-8bit

MLX reference not stated

Reference
not stated
Eval data
arc_easy, hellaswag
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-08-15

majentik/Qwen3.8-27B-MLX-MXFP4

MLX reference not stated

Reference
not stated
Eval data
arc_easy, hellaswag (sample size not stated)
Context
not stated
Tool
not stated (mlx-lm 0.31.3 used for conversion)

Card snapshot main · updated 2026-08-15

malaiwah/Qwen3.8-27B-EXL3-EDA-research

EXL3 other or no reference

Reference
shared BF16 reference capture, shared BF16 lm_head
Eval data
shard 0 of v5 held-out suite, 512 contexts, 1,048,064 scored positions, 330 source clusters
Context
not stated
Tool
tools/fidelity.py replay (hidden state after final norm replayed through BF16 lm_head); paired per context

Card snapshot main · updated 2026-08-20

malaiwah/Qwen3.8-27B-EXL3-K5K6

EXL3 vs BF16

Reference
BF16 reference (KL(BF16 reference || candidate), nats, full vocabulary, body-only, shared BF16 head replay)
Eval data
v5 10M suite: 5,120 contexts x 2,047 scored positions = 10,480,640 positions, 842 source clusters; shard-0 comparison uses 512 contexts / 1,048,064 positions
Context
2,048-token contexts
Tool
vLLM capture + shared-BF16-head replay (tools/kld_ladder.sh, kld_aggregate.py); llama.cpp for GGUF rows

Card snapshot main · updated 2026-09-08

malaiwah/Qwen3.8-27B-EXL3-K5K6-context

EXL3 vs BF16

Reference
BF16 Qwen3.8-27B, full-vocab KL(BF16 || candidate) in nats, body-only through one shared BF16 head
Eval data
v5 held-out suite: 5,120 contexts, 10,480,640 scored positions, 842 source clusters (also v3 136-context, v4 36-context, shard-0 512-context subsets)
Context
2048 tokens per context
Tool
vLLM capture + shared-BF16-head replay; llama.cpp llama-perplexity for GGUF rows

Card snapshot main · updated 2026-09-08

malaiwah/Qwen3.8-27B-EXL3-K5K6-hydrated

EXL3 other or no reference

Reference
BF16 Qwen/Qwen3.8-27B, full-vocabulary KL(BF16 reference || candidate) in nats, body-only, shared BF16 LM head replay
Eval data
v5 held-out suite: 5,120 contexts, 10,480,640 scored positions, 842 source clusters (shard 0 = 512 contexts, 1,048,064 positions)
Context
2048 tokens per context
Tool
vLLM capture + replay pipeline (llama.cpp for GGUF rows)

Card snapshot main · updated 2026-09-08

malaiwah/Qwen3.8-27B-EXL3-K6-parity

EXL3 vs BF16

Reference
shared BF16 reference capture (vLLM)
Eval data
shard 0 of v5 held-out suite: 512 contexts, 1,048,064 scored positions, 330 source clusters
Context
not stated
Tool
tools/fidelity.py replay; cluster bootstrap 10,000 resamples; cross-engine for GGUF (llama.cpp)

Card snapshot main · updated 2026-08-20

malaiwah/Qwen3.8-27B-EXL3-S16-V-research

EXL3 vs BF16

Reference
shared BF16 reference capture, shared BF16 head
Eval data
shard 0 of v5 held-out suite, 512 contexts, 1,048,064 scored positions, 330 source clusters
Context
not stated
Tool
hidden state captured after final norm, replayed through BF16 lm_head; token_mean_kld, cluster bootstrap 10,000 resamples

Card snapshot main · updated 2026-08-20

malekoo/Qwen3.8-27B-MLX-4bit

MLX vs BF16

Reference
bf16 MLX conversion in identical harness
Eval data
wikitext-2 (test)
Context
disjoint 2048-token windows, single token stream
Tool
mlx_lm

Card snapshot main · updated 2026-08-14

malekoo/Qwen3.8-27B-MLX-8bit

MLX vs BF16

Reference
bf16 MLX conversion in the identical harness
Eval data
wikitext-2 test
Context
disjoint 2048-token windows, single token stream
Tool
mlx-lm (mlx_lm.convert), M5 Max MacBook Pro

Card snapshot main · updated 2026-08-14

malekoo/Qwen3.8-27B-MLX-bf16

MLX other or no reference

Reference
none (perplexity only)
Eval data
wikitext-2 test
Context
disjoint 2048-token windows, single token stream
Tool
mlx-lm harness on Apple silicon (Metal)

Card snapshot main · updated 2026-08-14

manitcor/Qwen3.8-27B-Obliterated-E03-bnb-4bit

bitsandbytes vs BF16

Reference
BF16 E03 parent checkpoint
Eval data
untouched 200-prompt final-test partition; 33 prompts for first-token KL; small capability suite
Context
not stated
Tool
BitsAndBytes NF4 (0.50.0), compute dtype BF16

Card snapshot main · updated 2026-09-03

mauromedda/fucina-qwen38-v2

other reference not stated

Reference
not stated
Eval data
tool-eval-bench 2.0.4, 69-case
Context
not stated
Tool
tool-eval-bench 2.0.4 on stock SGLang v0.5.20

Card snapshot main · updated 2026-09-24

MESHIVEAI/Qwen-3.8-27B-Q4_K_M-Imatrix

other other or no reference

Reference
F16 GGUF baseline
Eval data
Wikitext-2 test (296,960 tokens, 580 chunks); Korean Wikipedia 20231101.ko (1,123,328 tokens) perplexity only
Context
512 (-c 512)
Tool
llama-perplexity with --kl-divergence

Card snapshot main · updated 2026-09-24

Mia-AiLab/Qwen3.8-27B-EXL3-3.5bpw

EXL3 other or no reference

Reference
none (absolute agentic benchmark)
Eval data
tool-eval-bench 2.5.1 hardmode, 84 scenarios; passkey/needle gates
Context
not stated
Tool
tool-eval-bench 2.5.1, temperature 1.0, seed 42

Card snapshot main · updated 2026-08-25

MiawTeam/Qwen3.8-27B-Uncensored-GGUF

GGUF other or no reference

Reference
unmodified Qwen3.8-27B base (for capability and refusal deltas); no BF16 reference for quant PPL
Eval data
wikitext-2 (PPL); MMLU, ARC-Challenge, HellaSwag, Winogrande 0-shot; 100 held-out harmful prompts
Context
not stated
Tool
lm-evaluation-harness (bf16, 0-shot); Heretic abliteration search; llama.cpp perplexity

Card snapshot main · updated 2026-08-15

Mihai-LeanZero/Qwen3.8-27B-Atlassian-Q6_K-GGUF

GGUF vs BF16

Reference
bf16 GGUF's own logits (merged Atlassian adapter, bf16)
Eval data
40 chunks of held-out Atlassian text
Context
2048 tokens per chunk
Tool
llama-perplexity --kl-divergence

Card snapshot main · updated 2026-09-17

Mihai-LeanZero/Qwen3.8-27B-Atlassian-Q8_0-GGUF

GGUF vs BF16

Reference
bf16 GGUF's own logits (merged Atlassian adapter)
Eval data
held-out Atlassian text, 40 chunks of 2048 tokens
Context
2048
Tool
llama-perplexity --kl-divergence

Card snapshot main · updated 2026-09-17

Minachist/Qwen3.8-27B-INT5-Flat-5.7bpw-AutoRound

AutoRound vs BF16

Reference
BF16 base, KL(P_base || Q_quant) in nats
Eval data
WikiText-2 test, 240 x 512 tokens, 122,640 scored positions
Context
512
Tool
AutoRound, calibration pile-10k + github-code-clean

Card snapshot main · updated 2026-08-26

Minachist/Qwen3.8-27B-INT6-Mixed-AutoRound

AutoRound vs BF16

Reference
BF16 base model
Eval data
WikiText-2 test, 240 sequences x 512 tokens, 122,640 scored positions
Context
512 tokens
Tool
KL(P_base || Q_quant) in nats (custom)

Card snapshot main · updated 2026-08-21

Minachist/Qwen3.8-27B-INT8-AutoRound

AutoRound vs BF16

Reference
Qwen/Qwen3.8-27B BF16 teacher, KL over full 248,320 vocab, FP32 log_softmax
Eval data
WikiText-2 raw test, 240 seq x 512 = 122,640 scored positions
Context
512
Tool
AutoRound (calibration pile-10k + github-code-clean)

Card snapshot main · updated 2026-08-20

minima-ai/mnma_qwen3.8_27b_nvfp4

NVFP4 vs BF16

Reference
BF16 model served identically
Eval data
WikiText-2 PPL @4K/@32K, MMLU-Pro, GSM8K, AIME'25, GPQA-Diamond, LiveCodeBench v6, RULER NIAH
Context
4K and 32K for perplexity
Tool
vLLM 0.27.1, TP=1, one 96 GB RTX PRO 6000, FP8 KV cache

Card snapshot main · updated 2026-09-04

mlx-bun/Qwen3.8-27B-Trellis-3.2bpw

MLX vs BF16

Reference
BF16 base figures from Red Hat's published evaluation (three-seed averages), not measured by author
Eval data
GSM8K-Platinum, IFEval, GPQA Diamond; full datasets, zero-shot, thinking enabled
Context
seed 1234, MTP off, one seed
Tool
mlx-bun (refactor/monorepo at 7c6155b7)

Card snapshot main · updated 2026-10-11

mlx-community/Qwen3.8-27B-OptiQ-4bit

MLX reference not stated

Reference
not stated (no BF16 comparison column)
Eval data
MMLU 5-shot (1000), GSM8K 3-shot CoT, IFEval, BFCL-V3 simple, HumanEval, HashHop
Context
not stated
Tool
mlx-optiq

Card snapshot main · updated 2026-09-16

mtrskeen/qwen3.8-27b-ninfer-minq4-mtpq4-visionq4-5080

other other or no reference

Reference
simulated PPL gate against the IQ3_XXS anchor (no BF16 reference stated)
Eval data
gsm8k_cot 8-shot 50 samples; RULER NIAH 8K/32K/64K
Context
not stated
Tool
lm-evaluation-harness; ninfer-5080 fork

Card snapshot main · updated 2026-09-18

mudler/Qwen3.8-27B-APEX-GGUF

GGUF vs BF16

Reference
BF16 reference logits
Eval data
wikitext-2-raw, 200 chunks
Context
n_ctx 512
Tool
not stated (imatrix from diverse calibration data, 200 chunks; 19 arms)

Card snapshot main · updated 2026-08-17

nerkyor/Qwen3.8-27B-Uncensored-Heretic-T10-BF16

other other or no reference

Reference
none (absolute scores of the abliterated model; no base-model scores on card)
Eval data
MMLU500, GPQA198, LCB100, Refusal140
Context
not stated
Tool
llama.cpp Q8_0 frozen results

Card snapshot main · updated 2026-08-20

neroued/Qwen3.8-27B-nvfp4-NInfer

NVFP4 vs BF16

Reference
official Qwen3.8-27B BF16 figures from the upstream model card (not same protocol)
Eval data
IFBench, AIME 2025, AIME 2026, GPQA-Diamond, ERQA, RealWorldQA
Context
252,928-token limit text suite; 81,920 multimodal
Tool
NInfer EvalScope 1.9.0, 0-shot rule scoring, thinking on, MTP=3, INT8 group-64 KV, temp 1.0 top-p 0.95 top-k 20, seed 42

Card snapshot main · updated 2026-09-29

nibor1896/Qwen3.8-27B-CNQ4.5

other vs BF16

Reference
upstream BF16 Qwen3.8-27B weights through crow-nest's f32 oracle
Eval data
3,470 rows = 905 code + 2,565 prose
Context
not stated (short rows)
Tool
crow-nest tools/oracle-kld.py, KL(reference || arm) in nats, mean +- SE; RTX 5090

Card snapshot main · updated 2026-09-27

nicosuter/Qwen3.8-27B-AWQ

AWQ other or no reference

Reference
FP8 checkpoint of Qwen3.8-27B (same items, same order); recovery = AWQ/FP8 geometric mean
Eval data
BFCL, GPQA Diamond, LiveCodeBench v6, MMMU-Pro, Multimodal (DocVQA/ChartQA/TextVQA), RULER (not counted)
Context
RULER synthesized at 4k, 32k, 128k
Tool
EVAL.md protocol on H200 NVL; bootstrap 20,000 resamples

Card snapshot main · updated 2026-08-24

nm-testing/Qwen3.8-27B-MXFP6A8

other vs BF16

Reference
Qwen/Qwen3.8-27B (BF16)
Eval data
GSM8K, 5-shot, all 1319 questions
Context
not stated
Tool
vLLM tests/evals/gsm8k/gsm8k_eval.py on one B300, greedy

Card snapshot main · updated 2026-10-14

nom666/Qwopus3.8-27B-MTPLX-8bit-Quality

other other or no reference

Reference
Qwen3.8-27B 8-bit, same harness
Eval data
13-task hard suite (thinking); non-thinking suite
Context
not stated
Tool
MTPLX on Apple M5 Max

Card snapshot main · updated 2026-08-20

notnaurw/Qwen3.8-27B-oQ5e-SAGE-ARCS-mtp

other vs BF16

Reference
bf16 source model, shared bf16 reference cache
Eval data
agentic basis: 96 seq x 2048 tokens, 48 batches, 196,512 positions; stock basis: 128 seq x 1024 tokens, 32 batches, 130,944 positions; long-context 2K/8K/16K
Context
2048 (agentic), 1024 (stock), 2K/8K/16K (long context)
Tool
head-KL = KL(bf16 || quantized) over bf16 top-1024 logits, renormalized; full-vocabulary KL as audit

Card snapshot main · updated 2026-10-11

notnaurw/Qwen3.8-27B-oQ5e-SAGE-CREST-mtp

other vs BF16

Reference
bf16 source model, KL(bf16 || quantized) over bf16 top-1024 logits (head-KL), full-vocab KL as audit
Eval data
agentic SWE/terminal corpus (96 seq x 2048 tok); generalist/stock corpus (128 seq x 1024 tok); 16 held-out 131072-token sessions
Context
2048 / 1024 / 131072
Tool
not stated

Card snapshot main · updated 2026-10-11

notnaurw/Qwen3.8-27B-oQ5e-SAGE-mtp

other vs BF16

Reference
bf16 source checkpoint (common reference cache)
Eval data
32 held-out batches / 130,944 tokens; full-vocab audit 64 x 1024 tokens
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-10-11

notnaurw/Qwen3.8-27B-oQ5e-SAGE-PATHS-mtp

other vs BF16

Reference
bf16 source (Qwen3.8-27B), shared bf16 reference cache
Eval data
agentic SWE/terminal corpus (96 seq x 2048 tok, 48 batches); generalist/stock corpus (128 seq x 1024 tok, 32 batches); 16 held-out agent sessions at 131072 tok
Context
2048 / 1024 / 131072 tokens
Tool
head-KL over bf16 top-1024 logits plus full-vocabulary KL audit (custom harness)

Card snapshot main · updated 2026-10-12

okayuji/Qwen3.8-27B-coreml-agent

other vs BF16

Reference
bf16 reference implementation
Eval data
10 prompts x 64 positions (author's lab record, not published)
Context
16,384-token context build
Tool
Core ML runtime / agent benchmark

Card snapshot main · updated 2026-10-05

Omega-Factory/Qwen3.8-27B-GGUF

GGUF other or no reference

Reference
FP16 base Qwen/Qwen3.8-27B @ 1d4bf0f2
Eval data
holdout y_exam, N=200 per category (ARC-MC, GSM8K, MATH-500)
Context
not stated
Tool
deterministic eval with McNemar item-level flips

Card snapshot main · updated 2026-10-11

oracomputing/Qwen3.8-27B-OQ3-GGUF

GGUF other or no reference

Reference
original 16-bit Qwen/Qwen3.8-27B
Eval data
MMLU-Pro (5-shot CoT generative, 12,032 questions); AIME-25 (8 seeds x 30 problems, 65,536 max new tokens)
Context
not stated
Tool
not stated; same setup for all models, matched total byte budget (10.17 vs 10.15 GB live weights)

Card snapshot main · updated 2026-08-26

orcarouter/OrcaSAQ-2-27B

other vs BF16

Reference
BF16 Qwen3.8-27B
Eval data
WikiText-2, 16,376 predicted tokens
Context
not stated
Tool
not stated (same evaluation path as BF16)

Card snapshot main · updated 2026-10-12

OS-Software/Qwen3.8-27B-Uncensored-Heretic-v2-GGUF

GGUF other or no reference

Reference
Original Qwen/Qwen3.8-27B
Eval data
new custom mixed-language dataset (Japanese-language sets used for KLD and refusal rate)
Context
not stated
Tool
Heretic v1.4.0+custom, ARA method

Card snapshot main · updated 2026-08-31

oshiteku/Sanshoku-Qwen3.8-27B-GGUF

GGUF vs BF16

Reference
BF16
Eval data
60 in-house prompts, 32 tokens each (top-1/KL); fixed subsets of GSM8K (100), MATH-500 (50), MGSM Japanese (100) for Math; SWE-bench Verified Mini (50 tasks) with mini-SWE-agent
Context
not stated
Tool
not stated for top-1/KL; llama.cpp 1a67982 and PrismML fork bdc23b5 tested

Card snapshot main · updated 2026-09-23

pearsonkyle/Qwen3.8-27B-GPTQ-W4A16

GPTQ vs BF16

Reference
bf16 served identically on vLLM
Eval data
174 held-out tool-calling turns; KLD over 6 distributions (agentic text lowest, general English highest)
Context
not stated for eval (calibration at ctx 32,768)
Tool
vLLM

Card snapshot main · updated 2026-09-03

pearsonkyle/Qwen3.8-27B-imatrix-MTP-GGUF

GGUF other or no reference

Reference
FP16
Eval data
external holdout (code + math + tools, 90k tokens, disjoint from calibration) plus five other eval distributions each with own FP16 baseline
Context
eval-ctx 8192
Tool
llama-perplexity (Quant-Tuner, llama.cpp f3e1828)

Card snapshot main · updated 2026-08-15

penkia/TernaryQuench-Qwen3.8-27B-GGUF

GGUF vs BF16

Reference
Qwen3.8-27B BF16 (five-task); Qwen3.8-27B 4-bit MLX (PPL)
Eval data
WikiText-2 test, first 20,480 tokens as 40 independent 512-token chunks; PIQA, ARC-Easy, ARC-Challenge, HellaSwag, WinoGrande full sets
Context
512-token chunks
Tool
llama.cpp (Q2_K file) for PPL; lm-eval 0.4.7 zero-shot on llama.cpp CUDA FP32 acc; reference rows MLX / native PyTorch

Card snapshot main · updated 2026-09-07

penkia/TernaryQuench-Qwen3.8-27B-MLX

MLX reference not stated

Reference
not stated (absolute perplexity and zero-shot accuracy, no BF16 delta)
Eval data
WikiText-2 test sample (first 20,480 tokens, 40 chunks); lm-eval PIQA/ARC/HellaSwag/WinoGrande
Context
512-token chunks
Tool
MLX; lm-eval 0.4.7 zero-shot

Card snapshot main · updated 2026-09-07

perkel/Qwen3.8-27B-MC

other vs BF16

Reference
Qwen BF16 weights computed with FP32 math
Eval data
81,880 held-out tokens: reasoning traces, math, code, chat, wiki (disjoint from calibration)
Context
not stated (engine at 16-bit activations, unquantized KV cache)
Tool
MegaCapybara engine; GPTQ with MX block scales, 514K calibration tokens

Card snapshot main · updated 2026-10-07

philbert440/Qwen3.8-27B-W4A16-AWQ

AWQ reference not stated

Reference
not stated (no bf16 comparison of the quant; base-model benchmarks quoted from Qwen card, not re-measured)
Eval data
Qwen model-card benchmarks (quoted); GSM8K sample 3/3 sanity check
Context
not stated
Tool
not stated (llm-compressor AWQ calibration; vLLM speed benchmarks)

Card snapshot main · updated 2026-08-15

Pilcothink/Qwen3.8-27B-MixedInt2-ultra-lite

other other or no reference

Reference
Qwen/Qwen3.8-27B
Eval data
MMLU acc, GSM8K exact_match (flexible and strict)
Context
not stated
Tool
AutoRound evaluation interface with LM Evaluation Harness

Card snapshot main · updated 2026-08-24

Pilcothink/Qwen3.8-27B-MixedInt4-AutoRound

AutoRound other or no reference

Reference
original Qwen3.8-27B
Eval data
MMLU, GSM8K, ARC-Challenge, BoolQ, HellaSwag, PIQA, WinoGrande
Context
not stated
Tool
AutoRound evaluation interface with LM Evaluation Harness

Card snapshot main · updated 2026-08-17

PocketAiHub/Qwen3.8-27B-Abliterated-MTPLX-Optimized-Speed

other vs BF16

Reference
regular (non-abliterated) MTPLX at matched quantization layout; BF16-greedy teacher-forced positions
Eval data
24 prompts (12 capability + 12 JailbreakBench), 16 positions each, 384 positions
Context
not stated
Tool
full 248,320-vocab logits, float32 capture, float64 math, forward KL in nats

Card snapshot main · updated 2026-08-22

poisonxa/Qwen3.8-27B-PXQN-OneCard

other vs a Q8_0

Reference
Q8_0 file of the same model
Eval data
held-out chat-format corpus, assistant-role tokens only (15,065 tokens) for KLD; wikitext-2 test set for PPL
Context
KLD: 24 chunks of 2048 tokens; PPL: 200 chunks of 512 tokens
Tool
PXA v2026.10 engine

Card snapshot main · updated 2026-10-12

PollardWeights/Penjing-27B-Pollard

other other or no reference

Reference
f16 (PPL 4.1422)
Eval data
wikitext2 test
Context
-c 2048
Tool
llama-perplexity (Same top p for top-1 agree)

Card snapshot main · updated 2026-09-22

primitive-ai/Qwen3.8-27B-mixed-NVFP4-FP8

NVFP4 vs BF16

Reference
Qwen BF16 (Qwen/Qwen3.8-27B) as accuracy baseline; no KL/PPL
Eval data
1,370 items over 14 public benchmarks: 1,170-item knowledge suite + 200-item tool-calling suite
Context
16,384-token budget, concurrency 32, thinking forced on
Tool
temperature 0.6, top_p 0.95, top_k 20, vLLM, one RTX PRO 6000 Blackwell, all rows back to back

Card snapshot main · updated 2026-08-27

ProCreations/bonsai-2-27b-gsq-rco-gguf

GGUF vs BF16

Reference
original Bonsai PTQ1_0 quant and original Qwen3.8 BF16
Eval data
WikiText-2 raw test; ARC-C 1,172; ARC-E 2,376; HellaSwag fixed random 2,000 validation; Winogrande
Context
WikiText-2 context 2048
Tool
native perplexity tool; likelihood harness without chat template

Card snapshot main · updated 2026-09-19

pugant/Qwen3.8-27B-MTP-Q3_0_ROCMFPX

GGUF vs BF16

Reference
BF16 historical references (6.6409 en / 11.7156 it)
Eval data
wikitext-2-en 150k tokens + Italian technical corpus 51.5k tokens
Context
512
Tool
llama-perplexity -c 512 -b 512 -fa on -ngl 999, Vulkan RADV, Strix Halo

Card snapshot main · updated 2026-09-04

QTML/Qwen3.8-27B-Security-Quark-MXFP4

MXFP4 vs BF16

Reference
Base Qwen3.8-27B BF16
Eval data
26-prompt cybersecurity refusal benchmark; benign prompts for KL
Context
temperature 0, thinking disabled
Tool
Served first-token top-20 truncated logprobs for abliteration-vs-quant table; heretic full-vocab first-token KL for 0.0151; AMD Quark AWQ-MXFP4

Card snapshot main · updated 2026-09-04

quark75/Qwen3.8-27B-EXL3-3.0bpw

EXL3 vs BF16

Reference
original BF16 weights
Eval data
held-out evaluation set (not named)
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-09-19

quark75/Qwen3.8-27B-Q4_0.gguf

GGUF vs BF16

Reference
original BF16 weights
Eval data
not stated
Context
n_ctx=512, 580 chunks
Tool
llama.cpp llama-perplexity --kl-divergence

Card snapshot main · updated 2026-09-19

QUASAR-QAT/Qwen3.8-27B-QUASAR-NVFP4

NVFP4 vs BF16

Reference
BF16 original compared on same benchmarks; QAT distillation vs frozen BF16 teacher
Eval data
GPQA-Diamond (2 runs, n=396), AIME'26 (3 repeats, n=90), MRCR, HMMT'26, SuperGPQA, LiveCodeBench, RULER
Context
not stated
Tool
QUASAR (loss-aware NVFP4 QAD); comparators via LLM Compressor

Card snapshot main · updated 2026-10-15

r0b0tlab/Qwen3.8-27B-EXL3-4.00bpw

EXL3 reference not stated

Reference
not stated
Eval data
Q200v2 text-180 (gsm8k, humaneval, ifeval); GSM8K greedy for acceptance length
Context
not stated
Tool
ExLlamaV3 v1.5.0 convert.py

Card snapshot main · updated 2026-09-17

Rabbit-Hole-Ai/Qwen3.8-27B-5090-goldilocks-GGUF

GGUF vs BF16

Reference
true BF16 reference GGUF (PPL 8.1090)
Eval data
143 chunks of a mixed corpus; also corpus A (literary prose) and GPQA-style science prose
Context
n_ctx 512
Tool
llama-perplexity --kl-divergence, llama.cpp build 10437

Card snapshot main · updated 2026-09-03

RadixArk/Qwen3.8-27B-NVFP4-BF16-LMHead

NVFP4 reference not stated

Reference
not stated (absolute GSM8K accuracy)
Eval data
GSM8K full 1,319 split, thinking mode
Context
not stated
Tool
SGLang main d287880a, TP4 on 4x GB300, temperature 1.0, seed 0

Card snapshot main · updated 2026-08-24

rapid-mlx/Qwen3.8-27B-mixed-3.5bpw-MLX

MLX other or no reference

Reference
none for main table; bf16 included in subset comparison
Eval data
MMLU-Pro n=500, GSM8K n=150, HumanEval+ n=40, MMBench-EN n=300; identical subset (200 questions / 60 problems / 150 images) for bf16 comparison
Context
not stated
Tool
identical harness, greedy decoding

Card snapshot main · updated 2026-10-13

rdtand/Qwen3.8-27B-PrismaAQUA-5.5bit-vllm

other vs BF16

Reference
BF16 source (teacher), top-1024 logprobs plus a lumped residual bucket
Eval data
WikiText test (calibration windows from WikiText train), 8 x 512 = 4088 positions
Context
512 tokens
Tool
not stated by name (pipeline tool with shipcard.json)

Card snapshot main · updated 2026-08-23

rdtand/Qwen3.8-27B-PrismaAQUA-gridbook-13GB-5080-vllm

other vs BF16

Reference
unquantized BF16 Qwen3.8-27B text checkpoint
Eval data
WikiText-2 (8176 tokens scored for PPL); KL over 4088 positions
Context
seqlen 512 for PPL
Tool
vLLM served artifact, top-K prompt logprobs via /v1/completions

Card snapshot main · updated 2026-08-18

rdtand/Qwen3.8-27B-PrismaScout-AQUA-Vision-20GB

other vs BF16

Reference
pinned BF16 Qwen3.8 source
Eval data
KL: eight 512-token samples (4,088 positions); PPL: WikiText-2 test, 8,176 tokens in 16 non-overlapping 512-token chunks
Context
512
Tool
not stated

Card snapshot main · updated 2026-08-24

RedHatAI/Qwen3.8-27B-MXFP4

MXFP4 reference not stated

Reference
not stated (absolute benchmark scores; v2 compares two checkpoints, unnamed in digest)
Eval data
GSM8K Platinum, IFEval, MATH-500, AIME 2025, GPQA Diamond (v1); AIME 2026, Terminal-Bench 2.1, MMLU-Pro, DeepSWE (v2)
Context
max_length 69632 (lm-eval)
Tool
lm-evaluation-harness and lighteval via vLLM on B200 (v1); Inspect-AI on MI355X (v2)

Card snapshot main · updated 2026-10-08

Reza2kn/Bev

other other or no reference

Reference
gold labels of Jev Persian Benchmark (accuracy vs gold, not a quant-vs-reference comparison)
Eval data
Jev Persian Benchmark, 480 main questions, commit ac218d96
Context
16,384 tokens per field (serving config)
Tool
Bev v0.1.1 scoring extension on Prism Ternary-Bonsai-2-27B GGUF

Card snapshot main · updated 2026-09-23

RonnieOps/Qwen3.8-27B-uncensored-IQ4_XS

other vs BF16

Reference
saved BF16 logits (same engine); PPL anchors BF16
Eval data
wiki validation corpus (PPL, KL); custom 59-task SEC/finance domain harness; 115/127-task suites
Context
32K for task suites; not stated for PPL/KL
Tool
llama.cpp (KL RMS dp / top-p agreement vs BF16)

Card snapshot main · updated 2026-09-21

RukaRat/Qwen3.8-27B-INT8-W8A8-imatrix-heretic-MTP

INT8 other or no reference

Reference
ground truth answers of an in-house battery (160 items); unmodified W8A8 build as comparison
Eval data
in-house battery, four tasks of 40 (incl. NER and extraction); refusal tests on harmful_behaviors and OR-Bench-Hard-1K
Context
286,720 context for serving
Tool
vLLM TP=2 on 2x RTX 3090, MTP on, fp8 KV

Card snapshot main · updated 2026-09-19

RukaRat/Qwen3.8-27B-W4A16-imatrix-heretic-int8head-MTP

INT8 other or no reference

Reference
pairwise vs the publisher's other builds (ground-truth scored 160-item battery); no BF16 reference
Eval data
five-task battery of 160 items (200-item version earlier), refusal eval with OR-Bench-Hard-1K, 2 vision probes
Context
not stated
Tool
vLLM on actual served checkpoint; abliteration with Heretic 1.4.0 before W4A16 quantization

Card snapshot main · updated 2026-09-19

sakamakismile/Qwen3.8-27B-EXL3-6.5bpw

EXL3 other or no reference

Reference
none (absolute scores; castings compared)
Eval data
MMLU-Pro first 20 questions; 8-task agent battery x3
Context
not stated
Tool
ExLlamaV3 v1.4.5, TP=8 on 8 x RTX PRO 2000

Card snapshot main · updated 2026-09-05

sammyblues/Qwen3.8-27B-IQ2_XS-GGUF

GGUF vs BF16

Reference
64L BF16 reference (MTP head removed, same as quant)
Eval data
WikiText-2 test, all 453 512-token chunks; HellaSwag fixed 100-task subset; imatrix from 128 WikiText-2 train chunks of 512 tokens
Context
512-token PPL chunks; 4K context for memory test
Tool
llama.cpp (llama-quantize, perplexity) on A100 80GB PCIe

Card snapshot main · updated 2026-09-02

sdkyuan/qwen3.8-27B-qat-q2_0-gguf

GGUF other or no reference

Reference
FP16 teacher
Eval data
held-out chat-formatted slices (reasoning, code, tool calling) and wikitext-2 test
Context
not stated
Tool
top-1 agreement and mean KL divergence (nats/token)

Card snapshot main · updated 2026-08-22

shisa-ai/Qwen3.8-27B-FP8-BLOCK

FP8 vs BF16

Reference
Qwen/Qwen3.8-27B BF16 base @ 1d4bf0f2
Eval data
512 contexts / 1,048,064 positions, full 248,320 vocab, one shared BF16 LM head
Context
not stated (shard-0 KLD replay)
Tool
KL(BF16 base || candidate), v5 shard-0 KLD replay; all checkpoints captured/replayed locally

Card snapshot main · updated 2026-08-17

sigmanih/Qwen-Qwen3.8-27B-GGUF-IQ1_S

GGUF reference not stated

Reference
not stated (absolute benchmark accuracy, no reference model)
Eval data
slice of ARC-Challenge, BBH, GPQA, GSM8K, HellaSwag, HumanEval, MATH, MBPP, MMLU, MMLU-Pro, TruthfulQA; 100 questions total
Context
not stated
Tool
Sigma Studio Training Lab, temp 0.0, seed 42

Card snapshot main · updated 2026-10-13

sigmanih/Qwen-Qwen3.8-27B-GGUF-IQ2_S

GGUF other or no reference

Reference
none (absolute benchmark accuracy, no BF16 comparison)
Eval data
slice of 12 benchmark suites, 100 questions total (ARC-Challenge, BBH, GPQA, GSM8K, HellaSwag, HumanEval, MATH, MBPP, MMLU, MMLU-Pro, TruthfulQA)
Context
not stated
Tool
Sigma Studio Training Lab, seed 42, temp 0.0

Card snapshot main · updated 2026-10-13

sigmanih/Qwen-Qwen3.8-27B-GGUF-IQ2_XXS

GGUF other or no reference

Reference
absolute benchmark accuracy, no bf16 reference
Eval data
small slices of ARC-Challenge, BBH, GPQA, GSM8K, HellaSwag, HumanEval, MATH, MBPP, MMLU, MMLU-Pro, TruthfulQA (100 questions total)
Context
not stated
Tool
Sigma Studio Training Lab (code_execution, continuation_logprob, cot_generation, letter_logprob; temp 0.0, seed 42)

Card snapshot main · updated 2026-10-13

sigmanih/Qwen-Qwen3.8-27B-GGUF-Q4_K_M

GGUF reference not stated

Reference
not stated (absolute benchmark scores, no BF16 comparison)
Eval data
slices of ARC-Challenge, BIG-Bench Hard, GPQA, GSM8K, HellaSwag, HumanEval, MATH, MBPP, MMLU, MMLU-Pro, TruthfulQA (100 questions total)
Context
not stated
Tool
Sigma Studio Training Lab, temp 0, seed 42

Card snapshot main · updated 2026-10-15

sigmanih/Qwen-Qwen3.8-27B-GGUF-Q5_K_M

GGUF other or no reference

Reference
none (absolute benchmark accuracy)
Eval data
slice of benchmark datasets (100 questions total), not full suites [L100]
Context
not stated
Tool
Sigma Studio Training Lab, temp 0, seed 42; protocols code_execution, continuation_logprob, cot_generation, letter_logprob

Card snapshot main · updated 2026-10-16

signalnine/Qwen3.8-27B-MTP-q27

other reference not stated

Reference
not stated (v2 recipes vs 3.6-recipe builds; q6k reference for long-context tail)
Eval data
wikitext PPL; HumanEval+ 30 problems; needle-in-haystack
Context
not stated
Tool
q27 engine

Card snapshot main · updated 2026-09-09

singulared/Qwen3.8-27B-ROCmFP4-MTP-GGUF

GGUF other or no reference

Reference
mainline llama.cpp Q4_K_M (no BF16 reference)
Eval data
held-out wikitext-2, 145 chunks
Context
2048
Tool
llama-perplexity

Card snapshot main · updated 2026-08-19

SmokeyPete/Qwen3.8-27B-Heretic-NVFP4-DGX-Spark

NVFP4 vs BF16

Reference
BF16 = the abliterated model before quantization
Eval data
GSM8K (1,319 questions), HumanEval+ (164, EvalPlus 0.3.1)
Context
not stated
Tool
SGLang 0.5.19, greedy, thinking on reasoning_effort medium, no speculative decoding

Card snapshot main · updated 2026-10-03

soyrsoyr/Qwen3.8-27B-W4A16-AWQ-GPTQ

AWQ vs BF16

Reference
bf16 base Qwen3.8-27B
Eval data
OpenLLM v1 (ARC-Challenge, HellaSwag, TruthfulQA-mc2, Winogrande); reasoning suite AIME-24, AIME-25 avg@4, MATH-500 pass@1
Context
generative up to 32k tokens, temp 0.6, top_p 0.95
Tool
lm-evaluation-harness and lighteval through vLLM

Card snapshot main · updated 2026-08-18

staccs/Qwen3.8-27B-lecore-GGUF

GGUF reference not stated

Reference
not stated (weights dequantized to bf16 for evaluation)
Eval data
MMLU 5-shot first 10 questions of each of 57 subjects; GSM8K 5-shot first 100 test problems
Context
not stated
Tool
lm-eval-harness 0.4.9, greedy, 320 new tokens, no chat template

Card snapshot main · updated 2026-10-15

staccs/Qwen3.8-27B-lecore-mlx

MLX vs BF16

Reference
bf16 reference
Eval data
WikiText-2 test (32704 tok) and a different Python-source slice (8176 tok); MMLU 5-shot first 10 questions of each of 57 subjects; GSM8K 5-shot first 100 test problems
Context
seq 512
Tool
MLX perplexity on dequantized shipped weights; lm-eval-harness 0.4.9

Card snapshot main · updated 2026-10-15

Steven10429/Qwen3.8-27B-UD-IQ4_XS-MLX

MLX vs BF16

Reference
direct bf16 to 4-bit MLX conversion (lmstudio-community)
Eval data
wikitext-2
Context
16 windows x 2048 tokens
Tool
not stated

Card snapshot main · updated 2026-10-05

stosc/qwen3_8_27b_nvfp4_v100.ninfer

NVFP4 vs BF16

Reference
official Qwen3.8-27B BF16 figures from upstream card (not same protocol)
Eval data
IFBench, AIME 2025, AIME 2026, GPQA-Diamond, ERQA, RealWorldQA; 1,723 samples, single sample each, not pass@k
Context
252,928-token context cap for text suite; 81,920 for multimodal suite; thinking on, MTP=3, INT8 group-64 KV
Tool
NInfer EvalScope 1.9.0, 0-shot, rule-based scoring, temp 1.0, top-p 0.95, top-k 20, seed 42

Card snapshot main · updated 2026-09-26

sunnyyy/Qwen3.8-27B-NInfer

other vs BF16

Reference
official Qwen3.8-27B BF16 figures from upstream card (not same protocol)
Eval data
IFBench, AIME 2025, AIME 2026, GPQA-Diamond, ERQA, RealWorldQA (1,723 samples)
Context
262,144 text limit; 81,920 multimodal
Tool
NInfer EvalScope 1.9.0, 0-shot, thinking on, MTP=3, INT8 group-64 KV, temp 1.0 top-p 0.95 top-k 20, seed 42

Card snapshot main · updated 2026-09-01

sunnyyy/Qwen3.8-27B-nvfp4-NInfer

NVFP4 other or no reference

Reference
none; compared against upstream official BF16 figures (not same protocol)
Eval data
IFBench, AIME 2025, AIME 2026, GPQA-Diamond, ERQA, RealWorldQA (1,723 samples)
Context
252,928-token limit text suite; 81,920 multimodal
Tool
EvalScope 1.9.0 via NInfer, thinking on, MTP=3, INT8 group-64 KV, temp 1.0, top-p 0.95, top-k 20, seed 42, one sample per problem

Card snapshot main · updated 2026-09-01

syvai/qwen3.8-27b-3090-fast-variant

other vs BF16

Reference
bf16
Eval data
GPTQ calibrated on 300k of the model's own hidden states
Context
not stated
Tool
GPTQ int4, group 128

Card snapshot main · updated 2026-08-18

talxcc/Tals-coder-flash-01

other other or no reference

Reference
unsloth Q4_K_M (100% baseline)
Eval data
HumanEval, MBPP, multi-file generation, refactoring; MMLU, GSM8k (named, no per-bench scores)
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-09-29

tcclaviger/Qwen3.8-27B-RFI8-AA

other vs BF16

Reference
BF16 original
Eval data
WikiText-2
Context
n_ctx 2048
Tool
PPL tool included with the checkpoint

Card snapshot main · updated 2026-08-16

TechnoBaptist/Ternary-Bonsai-2-27B-gguf

GGUF other or no reference

Reference
Qwen3.8-27B FP16 reference
Eval data
14 benchmarks across six skill categories (MMLU-Redux, MuSR, GSM8K, MATH-500, AIME25, AIME26, HumanEval+, MBPP+, LiveCodeBench, IFEval, IFBench, BFCL v3, MMMU-Pro, OCR Bench v2), thinking mode
Context
not stated
Tool
EvalScope + vLLM on NVIDIA H100

Card snapshot main · updated 2026-09-17

TelperionAI/Qwen3.8-27B-EXL3-4.0bpw

EXL3 vs BF16

Reference
BF16 base
Eval data
231 documents, 142,727 scored token positions
Context
not stated
Tool
next-token disagreement vs BF16 base, bucketed by base top1-top2 logprob margin; paired McNemar n=33,812

Card snapshot main · updated 2026-09-02

TelperionAI/Qwen3.8-27B-EXL3-4.0bpw-v2

EXL3 vs BF16

Reference
BF16 base Qwen3.8-27B
Eval data
231 documents, 142,727 scored positions (own corpus); n=33,812 in confident bucket
Context
not stated
Tool
paired McNemar significance; divmed = median first-divergence token under free greedy decode

Card snapshot main · updated 2026-09-04

TelperionAI/Qwen3.8-27B-EXL3-5.5bpw

EXL3 vs BF16

Reference
BF16 base
Eval data
231 documents, 142,727 scored token positions
Context
not stated
Tool
next-token disagreement vs BF16 base, bucketed by base top1-top2 logprob margin; paired McNemar n=33,812

Card snapshot main · updated 2026-09-02

TelperionAI/Qwen3.8-27B-EXL3-5.5bpw-v2

EXL3 vs BF16

Reference
BF16 base Qwen3.8-27B
Eval data
231 documents, 142,727 scored positions (own corpus); n=33,812 in confident bucket
Context
not stated
Tool
paired McNemar significance; divmed = median first-divergence token under free greedy decode

Card snapshot main · updated 2026-09-04

TelperionAI/Qwen3.8-27B-EXL3-6.5bpw

EXL3 vs BF16

Reference
BF16 base
Eval data
231 documents, 142,727 scored token positions
Context
not stated
Tool
next-token disagreement vs BF16 base, bucketed by base top1-top2 logprob margin; paired McNemar n=33,812

Card snapshot main · updated 2026-09-02

TelperionAI/Qwen3.8-27B-FP8-block-AWQ

AWQ vs BF16

Reference
BF16 base
Eval data
231 documents, 142,727 scored token positions
Context
not stated
Tool
disagreement rates vs BF16 base bucketed by base top1-top2 logprob margin; paired McNemar significance

Card snapshot main · updated 2026-09-02

TelperionAI/Qwen3.8-27B-INT4-AWQ-GPTQ

AWQ vs BF16

Reference
BF16 base
Eval data
142,727 tokens of self-distilled thinking-mode output plus 200 free greedy generations
Context
not stated
Tool
vLLM 0.27.1, TP=2, 2xB300

Card snapshot main · updated 2026-09-02

TelperionAI/Qwen3.8-27B-INT4-AWQ-GPTQ-gdn4

AWQ vs BF16

Reference
BF16 base
Eval data
142,727 tokens of self-distilled thinking-mode output plus 200 free greedy generations
Context
not stated
Tool
vLLM 0.27.1, TP=2, 2xB300; perplexity deliberately excluded

Card snapshot main · updated 2026-09-03

TelperionAI/Qwen3.8-27B-NVFP4-AWQ-AutoRound

NVFP4 vs BF16

Reference
BF16 base
Eval data
142,727 tokens of self-distilled thinking-mode output plus 200 free greedy generations
Context
not stated
Tool
vLLM 0.27.1, TP=2, 2xB300 (custom top-1/bucket disagreement metrics; perplexity deliberately excluded)

Card snapshot main · updated 2026-09-02

TelperionAI/Qwen3.8-27B-NVFP4-AWQ-AutoRound-allfp4

NVFP4 vs BF16

Reference
BF16 base
Eval data
142,727 tokens of self-distilled thinking-mode output plus 200 free greedy generations
Context
not stated
Tool
vLLM 0.27.1, TP=2, 2xB300 (custom top-1/bucket disagreement metrics; perplexity deliberately excluded)

Card snapshot main · updated 2026-09-03

TelperionAI/Qwen3.8-27B-NVFP4-AWQ-GPTQ

NVFP4 vs BF16

Reference
BF16 base model
Eval data
142,727 tokens of self-distilled thinking-mode output plus 200 free greedy generations
Context
not stated
Tool
vLLM 0.27.1, TP=2, 2xB300

Card snapshot main · updated 2026-09-03

ThakiCloud/Qwen3.8-27B-NVFP4-FP8ATTN

NVFP4 vs BF16

Reference
Qwen/Qwen3.8-27B bf16, paired comparisons with McNemar / p-values
Eval data
MMMU-val MC (232 paired), GSM8K n=600, HAERAE, KoBEST, belebele-ko, ARC-Challenge, IFEval
Context
not stated
Tool
llm-compressor GPTQ oneshot, 1,024 text calibration samples; vLLM 0.27.1 + lm-eval 0.4.12

Card snapshot main · updated 2026-09-07

ThakiCloud/Qwen3.8-27B-NVFP4-GPTQ-mm

NVFP4 vs BF16

Reference
Qwen/Qwen3.8-27B bf16
Eval data
MMMU validation multiple-choice (246 paired items); GSM8K full 1,319 items on the -txt sibling only
Context
max_new_tokens=16384, temperature 0 (MMMU)
Tool
llm-compressor GPTQ oneshot NVFP4 on 1,024 text+image calibration samples; vLLM, single B200; lm-eval 0.4.12 for GSM8K

Card snapshot main · updated 2026-09-07

ThakiCloud/Qwen3.8-27B-NVFP4-GPTQ-txt

NVFP4 vs BF16

Reference
Qwen/Qwen3.8-27B (bf16)
Eval data
MMMU-val multiple-choice (246 paired items); GSM8K full 1,319; HAERAE, KoBEST, belebele-ko, ARC-Challenge (n=600 per task); IFEval prompt-strict
Context
max_model_len=32768; MMMU max_new_tokens=16384
Tool
lm-eval 0.4.12 with vLLM v0.27.1 on a single B200

Card snapshot main · updated 2026-09-07

ThakiCloud/Qwen3.8-27B-W4A16-AWQ

AWQ vs BF16

Reference
bf16 base and publisher's GPTQ sibling
Eval data
GSM8K full 1,319 items, English and Korean
Context
not stated
Tool
greedy, one serving session, identical config across arms; strict-match and flexible-extract scoring

Card snapshot main · updated 2026-09-07

ThakiCloud/Qwen3.8-27B-W4A16-GPTQ

GPTQ vs BF16

Reference
bf16 (same serving session)
Eval data
GSM8K full 1,319 items en/ko
Context
greedy
Tool
vLLM 0.27.1 + lm-eval 0.4.12; GPTQ W4A16 via llmcompressor, calibration 1,024 samples x 2,048 tokens

Card snapshot main · updated 2026-09-07

thederby/Qwen3.8-27B-oQ4e-fp16-mtp

other vs BF16

Reference
original bf16 model
Eval data
48 windows of English prose, Python code, Japanese and Korean text
Context
2048 tokens per window
Tool
mean KL on reference top-256 tokens plus remainder bucket (slightly underestimates full KL)

Card snapshot main · updated 2026-10-11

thederby/Qwen3.8-27B-oQ4e-mtp

other vs BF16

Reference
original bf16 model; mean KL on reference top-256 tokens plus one remainder bucket (slightly underestimates full KL)
Eval data
48 windows of English prose, Python code, Japanese and Korean text
Context
2048 tokens per window
Tool
not stated

Card snapshot main · updated 2026-10-11

thederby/Qwen3.8-27B-oQ5e-fp16-mtp

other vs BF16

Reference
original bf16 model
Eval data
48 windows of English prose, Python code, Japanese and Korean text
Context
2048 tokens per window
Tool
mean KL on reference top-256 tokens plus one remainder bucket (slightly underestimates full KL); fidelity not task benchmarks

Card snapshot main · updated 2026-10-11

thederby/Qwen3.8-27B-oQ5e-mtp

other vs BF16

Reference
original bf16 model
Eval data
English prose, Python code, Japanese and Korean text (48 windows)
Context
2048 tokens per window
Tool
mean KL on reference top-256 tokens plus one remainder bucket (oMLX-based; tool not named)

Card snapshot main · updated 2026-10-11

thederby/Qwen3.8-27B-oQ6e-fp16-mtp

other vs BF16

Reference
original bf16 model
Eval data
48 windows x 2048 tokens of English prose, Python code, Japanese and Korean text
Context
2048-token windows
Tool
mean KL over reference top-256 tokens plus remainder bucket (slightly underestimates full KL); fidelity not task benchmarks

Card snapshot main · updated 2026-10-11

thederby/Qwen3.8-27B-oQ6e-mtp

other vs BF16

Reference
original bf16 model
Eval data
48 windows of English prose, Python code, Japanese and Korean text; <0.3% appears in calibration data
Context
2048 tokens per window
Tool
mean KL on reference top-256 tokens plus one remainder bucket (slightly underestimates full KL); oMLX oQe

Card snapshot main · updated 2026-10-11

thederby/Qwen3.8-27B-oQ8e-fp16-mtp

other vs BF16

Reference
original bf16 model
Eval data
48 windows x 2048 tokens of English prose, Python code, Japanese and Korean text
Context
2048-token windows
Tool
mean KL on reference top-256 tokens plus remainder bucket (slightly underestimates full KL)

Card snapshot main · updated 2026-10-11

thederby/Qwen3.8-27B-oQ8e-mtp

other vs BF16

Reference
original bf16 model
Eval data
48 windows x 2048 tokens of English prose, Python code, Japanese and Korean text
Context
2048-token windows
Tool
mean KL over reference top-256 tokens plus remainder bucket (slightly underestimates full KL); oMLX oQe

Card snapshot main · updated 2026-10-11

TheDrainFlorist/Qwen3.8-27B-VQ-3.9bpw

other vs BF16

Reference
bf16 teacher (cached top-64)
Eval data
three house corpora: prose, public code, literary (old table: prose only)
Context
12288 tokens (old table: 2048 tokens)
Tool
unmodified mlx-lm / KL instrument; tool name not otherwise stated

Card snapshot main · updated 2026-10-11

TheDrainFlorist/Qwen3.8-27B-VQ-4.5bpw

other vs BF16

Reference
bf16 teacher (cached top-64)
Eval data
three corpora: prose, public code, literary; older table prose-only
Context
12288 tokens (current table); 2048 tokens (superseded table)
Tool
KL instrument via mlx-lm; millinats per token

Card snapshot main · updated 2026-10-11

TheDrainFlorist/Qwen3.8-27B-VQ-4.8bpw

other vs BF16

Reference
bf16 teacher, cached top-64
Eval data
three house corpora: prose, public code, literary
Context
12288 tokens (older table: prose-only at 2048)
Tool
streamed KL instrument; mlx-lm for older table

Card snapshot main · updated 2026-10-11

thousandml/Qwen3.8-27B-CQ-4bit

other other or no reference

Reference
original Qwen3.8-27B
Eval data
WikiText Raw
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-10-16

timteh673/Qwen3.8-27B-Opus-Abliterix-Reasoning-MLX-8bit

MLX vs BF16

Reference
control-bf16 (reasoning-merged BF16 model before abliteration)
Eval data
frozen local project benchmarks (harmful-prompt suite, capability macro, code, HumanEval, long-form, MMMU30)
Context
not stated
Tool
same local harness; MLX 8-bit conversion with mlx-vlm

Card snapshot main · updated 2026-08-25

tooltd/Qwen3.8-27B-GSQ-RCO-BuffedMod-GGUF

GGUF vs BF16

Reference
original BF16 base model (q38f16baseline.kld)
Eval data
wikitext-2-raw wiki.test.raw
Context
not stated
Tool
llama-perplexity --kl-divergence

Card snapshot main · updated 2026-09-19

tooltd/Qwen3.8-27B-IQ4-XS-16GB-VRAM-GGUF

GGUF vs BF16

Reference
BF16 baseline (q38f16baseline.kld)
Eval data
wikitext-2-raw test; EvalPlus HumanEval (164) / MBPP (378) for coding
Context
not stated
Tool
llama-perplexity --kl-divergence; EvalPlus pass@1 no-thinking, KV cache q4_0

Card snapshot main · updated 2026-09-20

trevest/Qwen3.8-27B-Tetris-GGUF

GGUF vs a Q8_0

Reference
Q8_0 (measured +0.13% vs BF16 on matched chunks, treated as ~BF16)
Eval data
120 x 512-token chunks of wikitext-2-test + code files held out of calibration set
Context
512-token chunks
Tool
llama.cpp perplexity; imatrix 40% bartowski datav3, 48% real code, 12% ChatML tool-calls

Card snapshot main · updated 2026-08-20

Triody/Qwen3.8-27B-NVFP4-AllLinear

NVFP4 vs BF16

Reference
Qwen/Qwen3.8-27B bf16, no speculation; also nvidia/Qwen3.8-27B-NVFP4
Eval data
GSM8K first 400 test questions; HumanEval 164 problems
Context
at most 4096 output tokens
Tool
SGLang 0.5.20, greedy, thinking on, strict vs lenient scoring

Card snapshot main · updated 2026-09-30

Twu31/Qwen3.8-27B-AWQ-INT4-MTP-LowLatency

AWQ vs BF16

Reference
BF16 base Qwen/Qwen3.8-27B (per-token NLL of the BF16 base's own greedy answers under the quantized model)
Eval data
18 conversational prompts (~1.5k-token system prompt + history), 384x2048 calibration for AutoRound
Context
not stated
Tool
vLLM 0.27.1 on RTX 5090 (fidelity tables); AutoRound 0.14.2, llm-compressor 0.13.0

Card snapshot main · updated 2026-10-07

UgurI/Qwen3.8-27B-Turkish-CPT-GGUF

GGUF other or no reference

Reference
Base Model Qwen3.8-27B (quant/file of base column not stated)
Eval data
Turkish validation and test sets, TurkishMMLU (90-Q stratified), Belebele TR/EN
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-08-23

varshavvvvv/Ternary-CyberX-2-27B-gguf

GGUF other or no reference

Reference
Qwen3.8-27B FP16
Eval data
14 benchmarks across six skill categories, thinking mode
Context
not stated
Tool
EvalScope + vLLM on NVIDIA H100
  • Card's numbers match TechnoBaptist/Ternary-Bonsai-2-27B-gguf's card (78 of 78 claim lines identical, detected automatically); treated as copied, not as an independent measurement

Card snapshot main · updated 2026-09-22

vrfai/Qwen3.8-27B-FP8

FP8 vs BF16

Reference
bf16 weights of the same model (measured by author); also Qwen published card figures
Eval data
10 tasks, 13,046 documents, deterministic scorers only (drift table); MathVision testmini and ERQA absolute scores
Context
not stated
Tool
not stated (vLLM >= 0.27.1 for serving)

Card snapshot main · updated 2026-08-20

vrfai/Qwen3.8-27B-FP8-dynamic

FP8 vs BF16

Reference
bf16 weights of same model; drift reported as delta vs bf16 with a bf16-vs-bf16 batch-size floor
Eval data
10 tasks, 13,046 documents, deterministic scorers only (AI2D, ChartQA, ScienceQA-IMG, MMStar, OCRBench, CountBenchQA, RealWorldQA, OmniDocBench, MathVision testmini, ERQA)
Context
not stated
Tool
vLLM >= 0.27.1

Card snapshot main · updated 2026-08-20

vrfai/Qwen3.8-27B-NVFP4

NVFP4 vs BF16

Reference
Qwen3.8-27B bf16 weights, same harness, run twice to get a noise floor
Eval data
10 deterministic-scorer tasks, 13,046 documents (AI2D, ChartQA, ScienceQA-IMG, MMStar, OCRBench, CountBenchQA, RealWorldQA, OmniDocBench, MathVision testmini, ERQA)
Context
not stated
Tool
vLLM on H100 (Marlin path, effectively W4A16); thinking on, greedy

Card snapshot main · updated 2026-08-20

WarlaxZ/Qwen3.8-27B-NInfer-3090

other other or no reference

Reference
Perplexity: upstream neroued/Qwen3.8-27B-NInfer; KLD: Unsloth Q8_0 GGUF
Eval data
perplexity-1m and perplexity-heldout-2026-09 (wikipedia en/zh, arXiv...); KLD on held-out corpus 8 x 4096 tokens per stream
Context
4096-token streams for KLD; int8 KV for perplexity
Tool
ninfer-perplexity --quick --kv-dtype int8; llama.cpp b11316 for KLD

Card snapshot main · updated 2026-10-02

WaveCut/Qwen3.8-27B-MLX-4bit-DWQ

MLX other or no reference

Reference
pinned 8-bit MLX teacher (not BF16)
Eval data
fixed disjoint 64-example holdout
Context
rendered length capped at 513 tokens
Tool
KL divergence to sparse top-1,024 teacher logits (DWQ training)

Card snapshot main · updated 2026-08-15

wiklif/Qwen3.8-27B-KTopt-GGUF

GGUF vs a Q8_0

Reference
unsloth/Qwen3.8-27B-GGUF Q8_0 (benchmarks); BF16 (KLD)
Eval data
GPQA Diamond, IFBench, LiveCodeBench v6 (629 questions); KLD on code corpus (14 GitHub repos) and prose corpus (arXiv abstracts + Polish Wikipedia)
Context
KLD context 4096; benchmark output limit 200k
Tool
ik_llama.cpp fork; KLD vs BF16

Card snapshot main · updated 2026-09-15

XpressAI/Qwen3.8-27B-RYS-GGUF

GGUF other or no reference

Reference
unmodified base Qwen3.8-27B (not BF16 logits)
Eval data
17-prompt reasoning probe, EQ-140, fixed 1,006-case BFCL v4 single-turn manifest across 13 categories
Context
not stated
Tool
BFCL harness; layer duplication of layers 16-19, no retraining

Card snapshot main · updated 2026-08-15

yeasah/Qwen3.8-27B-exl3

EXL3 vs BF16

Reference
unquantized Qwen3.8-27B
Eval data
agentic and coding oriented slices (WildChat, Open-SWE-Traces, documents in user turn, documents as tool results, multilingual, tool-use loops)
Context
not stated
Tool
excess KLD (minus unquantized model's own rounding noise) and delta perplexity; exllamav3

Card snapshot main · updated 2026-10-12

YourHighnessLA/L0xRE-27b-Low-MTP

other other or no reference

Reference
native-quant baseline
Eval data
internal non-canonical suite, 150 tasks pass@1, thinking on
Context
not stated
Tool
not stated

Card snapshot main · updated 2026-09-25

Youssofal/Qwen3.8-27B-MTPLX-Bare-Speed

other vs BF16

Reference
original bf16 Qwen3.8-27B checkpoint
Eval data
teacher-forced over 2,389 positions of code, prose, JSON and a multilingual notice (pack quality); own coding battery (Bare Speed KL)
Context
not stated
Tool
MTPLX 2.11.3

Card snapshot main · updated 2026-09-17

Youssofal/Qwen3.8-27B-MTPLX-Bare-Speed-FP16

other vs BF16

Reference
bf16 Qwen3.8-27B checkpoint
Eval data
2,389 positions of code, prose, JSON and a multilingual notice
Context
not stated
Tool
teacher-forced top-1 agreement and KL (MTPLX 2.11.3)

Card snapshot main · updated 2026-09-17

Youssofal/Qwen3.8-27B-MTPLX-Optimized-Quality

other vs BF16

Reference
bf16 Qwen3.8-27B checkpoint
Eval data
2,389 positions of code, prose, JSON and a multilingual notice; separately a 'coding battery'
Context
not stated
Tool
teacher-forced top-1 agreement and KL; MTPLX 2.11.3

Card snapshot main · updated 2026-09-22

Youssofal/Qwen3.8-27B-MTPLX-Optimized-Quality-FP16

other vs BF16

Reference
bf16 Qwen3.8-27B checkpoint
Eval data
2,389 teacher-forced positions of code, prose, JSON and a multilingual notice
Context
not stated
Tool
teacher-forced top-1 agreement and KL (MTPLX 2.11.3)

Card snapshot main · updated 2026-09-22

Youssofal/Qwen3.8-27B-MTPLX-Optimized-Speed

other vs BF16

Reference
bf16 Qwen3.8-27B checkpoint (teacher-forced)
Eval data
2,389 positions of code, prose, JSON and a multilingual notice
Context
not stated
Tool
MTPLX 2.11.3

Card snapshot main · updated 2026-09-24

YTan2000/Qwen3.8-27B-TQ

other vs BF16

Reference
BF16
Eval data
GSM8K (1319), MMLU-Pro (291-question subset), GPQA Diamond (198); KLD corpus not stated
Context
not stated for KLD; 32K context for speed runs
Tool
tqLLM release engine, DFlash2-TQ3 drafter, tq3 KV; KLD on GB10

Card snapshot main · updated 2026-10-14

YTan2000/Qwen3.8-27B-TQ3_4S

other other or no reference

Reference
none (absolute task scores; no bf16 comparison)
Eval data
Hard86 (20 tasks/86 checks), HumanEval/HumanEval+/MBPP/MBPP+ (official scorer pass@1), custom coding/reason-math/tool-call/data-extract/instruction-follow suites
Context
not stated
Tool
llama.cpp, draft-MTP --spec-draft-n-max 2, reasoning off; evalplus under budget-256

Card snapshot main · updated 2026-10-08

zarigata/FeveQwen-1.0

other reference not stated

Reference
not stated
Eval data
142 paired prompts tune set (200-pair sealed test not opened)
Context
not stated
Tool
OBLITERATUS built-in behavioral checks

Card snapshot main · updated 2026-09-24

zedongpeng/Qwen3.8-27B-NInfer-4090

other vs BF16

Reference
FP32-compute reference over the BF16 checkpoint
Eval data
46,059 next-token predictions in 44 windows, half Wikipedia prose and half CPython source, disjoint from calibration
Context
2,048 tokens per window
Tool
KL64 = KL(reference || model) on reference top-64 tokens; NInfer patched engine

Card snapshot main · updated 2026-10-06

Zynerji/Ektome-Qwen3.8-27B-PristinelyUncensored

other other or no reference

Reference
pristine Qwen3.8-27B (before abliteration)
Eval data
MMLU-validation loglikelihood accuracy 0-shot; AdvBench refusal (n=100) with keyword classifier
Context
not stated
Tool
ektome_abliterate

Card snapshot main · updated 2026-08-20

Zynerji/Ektome-Qwen3.8-27B-PristinelyUncensored-GPTQ-MTP

GPTQ vs BF16

Reference
bf16 parent (Ektome-Qwen3.8-27B-PristinelyUncensored)
Eval data
cais/mmlu validation, 400 questions, seed 0; refusal compliance n=100 greedy
Context
not stated
Tool
vLLM 0.27.1 on RTX PRO 6000 (sm_120), single-letter generative answers

Card snapshot main · updated 2026-08-17

Repos without extracted claims (844)

Two different situations, marked in the Status column. Read in full: no quality claims means a reviewer read the whole card and found no quality number about the quant itself. Not yet reviewed means the card has not been read in full yet and may contain claims; it is listed so the catalogue is complete, not as a finding.

RepositoryStatusFormatWeightsNoteCard
0bserverx/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
0xBakeer/TandemLLM-Qwen3.8-27B-EXL3-3.0read in full: no quality claimsEXL3main
0xBakeer/TandemLLM-Qwen3.8-27B-EXL3-3.5read in full: no quality claimsEXL3main
0xBakeer/TandemLLM-Qwen3.8-27B-EXL3-4.0read in full: no quality claimsEXL3main
0xKitkat/Qwen3.8-27B-Uncensored-Aggressivenot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
0xSojalSec/Qwen3.8-27B-full-Uncensorednot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
0xSojalSec/Qwen3.8-27B-MLX-2bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
2531oupp/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
5oo6w32cu/Qwen3.8-27B-Q8_0-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
a4981678/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
a4lg/Qwen3.8-27B-MTP-ONLY-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
abhishek1kr/Qwen3.8-27B-Uncensored-MLX_demonot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
abhishekchohan/Qwen3.8-27B-AWQ-INT4read in full: no quality claimsAWQmain
Abiray/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
abood365/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Abyyyyyyyyyyyyyyyy/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
aclava/Qwen3.8-27B-Q3_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
aclava/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
adaliboy/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
adrianmurray/Qwen3.8-27B-Hybrid-Q8Q4read in full: no quality claimsotherNo quality claims for the quant (card read in full): size and a functional smoke test with speed/acceptance only [L37,L76-80]main
adrianmurray/Qwen3.8-27B-MLX-6bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
agentionai/Qwen3.8-27B-AP-GGUFread in full: no quality claimsGGUFmain
agiws/Qwen3.8-27B-UD-IQ2-Snot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
agnosticeng/Qwen3.8-27B-2bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
AGW06/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ahmed-amedo/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ahmed-amedo/Qwen3.8-27B-OBLITERATEDnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ahmed-amedo/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
AI-conn/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
AiAF/Qwen3.8-27B-GGUFnot yet reviewedGGUFCard is empty or missingmain
aiartorious/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
AIconjured/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-Q5_NVFP4read in full: no quality claimsNVFP4No quality claims for the quant (card read in full): size/BPW table only [L49-53]; only perplexity is an imatrix calibration figure, not a quant comparison [L92]; quality section is qualitative [L145-153]main
aidj2025/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ailahyhx/Qwen3.8-27B-GGUF-backupnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
airagrp/Qwen3.8-27B-MLX-mxfp8-mixednot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
airagrp/Qwen3.8-27B-MLX-nvfp4-mixednot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Akicou/Qwen3.8-27B-DFlash2-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): draft-model size/BPW tables and speculative acceptance-length (speed) figures quoted from z-lab; no quant fidelity numbers [L26-31,L94-99,L103-113]main
akopytko/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
aleada/Qwen3.8-27B-W4A16read in full: no quality claimsINT4No quality claims for the quant (card read in full): only speculative-decoding draft acceptance and speed-up tables plus recipe and size (18.11 GiB) [L77-85, L112-118]main
aleada/Qwen3.8-27B-W4A16-atlas-tunednot yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
alex-and-the/Qwen3.8-27B-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
alexanderou/Qwen3.8-27B-W4A16-AutoRound-fast-runot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
AlexWortega/Qwen3.8-27B-W4A16-AutoRoundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
allhailalona111/Qwen3.8-27B-CRACK-Q4_K_M-MTP-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
alphaduriendur/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
amd/Qwen3.8-27B-fp32-ve-fp32-int4-k_quant-gs128-text-cpu-onnxnot yet reviewedONNXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
amd/Qwen3.8-27B-Quark-AWQ-MXFP4read in full: no quality claimsMXFP4main
amd/Qwen3.8-27B-w8a8-llmcompressorread in full: no quality claimsINT8main
amd/Qwen3.8-27B_gpuep_1.0_gpu_128not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
andyjack/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
apertixai/cerno-27bread in full: no quality claimsothermain
apriliacloset/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
aquaduck/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
aquaduck/Qwen3.8-27B-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Ar4ikov/Qwen3.8-27B-AWQ-W4A16-ASYMnot yet reviewedAWQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Archsloth/Qwen3.8-27B-GGUFread in full: no quality claimsGGUFmain
ariel-pillar/Qwen3.8-27B-GGUF_POCnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Arkane-cloud/qwen38-27b-w4a16-autoroundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Arki05/Qwen3.8-27B-GGUF-shardsnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Arslan2703/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ArtomYuan/Qwen3.8-27B-ROCmFPXnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
asdhbj/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
ashesofthem/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-NVFP4read in full: no quality claimsNVFP4main
Astark-40/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Atomic-Germ/Qwen3.8-27B-NPU2not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Atomic-Germ/Qwen3.8-Whittle-MoE-27B-A17.8B-GGUFread in full: no quality claimsGGUFmain
ATOMIKMN/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
atypical-chai/Qwenmodel1stnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
AutomatosX/AX-Qwen3.8-27B-CUDA-AXQ-NVFP4-W4A16-MTPnot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
AutomatosX/AX-Qwen3.8-27B-MLX-AXQ-MXFP4-MTPnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
AutomatosX/AX-Qwen3.8-27B-MLX-AXQ-MXFP8-MTPnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
autotrust/Qwen3.8-27B-NVFP4-DGX-SPARKread in full: no quality claimsNVFP4No quality claims for the quant (card read in full): speed tables only [L63-80]; weights bit-exact identical to upstream nvidia repo [L28], no quality numbersmain
AvatarAndrey/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Avifenesh/Qwen3.8-27B-NVFP4-MTP-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): draft acceptance rate and decode speed only, no quant quality metric [L31-36, L79-87, L132-136, L294-301]main
Axel0689/Qwen3.8-27B-Q3_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
axiomofmind/Qwen3.8-27B-NVFP4-W4A16-MLP-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): file sizes, layout table and one DFlash2 speed/acceptance run only [L27-32, L51-57, L133]main
axum360/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-Q4KS-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Aydge/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ayqzs/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
AzatAI/Qwen3.8-27B-FP8-dynamicread in full: no quality claimsFP8No quality claims for the quant (card read in full): size and latency/memory tables only [L76-88]; card says no evaluation suite has been run [L133]main
azukivc/Qwen3.8-27B-Abliterated-SFTnot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
azukivc/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
barrydeen/Qwen3.8-27B-AWQ-4bitread in full: no quality claimsAWQNo quality claims for the quant (card read in full): MTP acceptance/throughput only [L96-105]; card states no formal benchmark suite was run [L130]main
batiai/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ben0112/Qwen-Qwen3.8-27B-MTPLXnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Bendyline/Qwen3.8-27B-mtp-drafter-mlx-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
bgdfyymbw/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
bielquants/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
biMEMO/Qwen3.8-27B-int4-AutoRoundread in full: no quality claimsAutoRoundNo quality claims for the quant (card read in full): throughput tables and MTP draft acceptance only [L52-59, L74, L106]; quality asserted qualitatively (needle test, no quality drop) with no numeric score [L77-83]main
blackfan23/Dirk-Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
bluehawana/Qwen3.8-27B-Q8-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
BnhHo/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
BoldingBuilds/Qwen3.8-27B-Abliterated-ThinkFix-GGUFread in full: no quality claimsGGUFmain
BoldingBuilds/Qwen3.8-27B-Reasoning-Termination-Fix-GGUFread in full: no quality claimsGGUFmain
born2bewild/Qwen3.8-27B-W4A16-AutoRound-fastnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
bowmanslayer/kev-27b-W4A16not yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
bowmanslayer/Qwen3.8-27B-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): size/pp512/tg128/context tables [L45-52] and MTP draft tok/s and acceptance [L131-163]; quality only described qualitatively [L59-61]main
bowmanslayer/Qwen3.8-27B-W4A16-vision-mtpnot yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
br1nz/Qwen3.8-27B-Just-MTP-NVFP4.ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
bramburn/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
breach-irate-punch/Qwen3.8-27B-mlx-4Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Brian6145/Qwen3.8-27B-Imatrix-Mtp-1mread in full: no quality claimsotherNo quality claims for the quant (card read in full): MTP draft acceptance and speed tables only [L82-96]main
brianbellx/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF-copynot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Brooooooklyn/Qwen3.8-27B-MXFP4-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Brooooooklyn/Qwen3.8-27B-NVFP4-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
bsaleh03/Qwen3.8-27B-ASCII-Condensednot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
bwn2000/moeme-27bread in full: no quality claimsothermain
bytehackr/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ByteOtter/Qwen3.8-27B-TAK-Reasoning-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
byteshape/Qwen3.8-27B-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): quality vs TPS shown only as an image chart [L49-56]; text tables give size, bits/weight and TPS only [L62-68, L104-110]main
bytkim/Qwen3.8-27B-pi-FP8read in full: no quality claimsFP8No quality claims for the quant (card read in full): benchmark results (Terminal-Bench, GPQA, SciCode) appear only as images and compare a Pi fine-tune vs Base, no numeric quant-quality values in text [L37, L59-83]main
bytkim/Qwen3.8-27B-pi-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): text tables are MTP head sizes, decode speedups and KV-cache sizes only [L126-130, L219-227]; quality benchmarks are in images only [L40, L76]main
cafepm/Qwen3.8-27B-Q3Q4-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
callgg/qwen3.8-27b-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Callick99/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
canhdu/Qwen3.8-27B-IQ3_S-FFN-IQ4_XS-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
catplusplus/Qwen3.8-27B-heretic-ara-NVFP4-MTPread in full: no quality claimsNVFP4No quality claims for the quant (card read in full): only drafter acceptance rate (speed) and anecdotal use note [L8-10]main
Charlesies/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chopinab/Qwen3.8-27B-Q2_K-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
christian-bick/EduGraph-Classifier-Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
chriszib/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-IMATRIX-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-IQ4_NL-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-IQ4_XS-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-MLX-5bitread in full: no quality claimsMLXmain
Chungulus/Qwen3.8-27B-MLX-6bitread in full: no quality claimsMLXmain
Chungulus/Qwen3.8-27B-MLX-8bitread in full: no quality claimsMLXmain
Chungulus/Qwen3.8-27B-MLX-MXFP4read in full: no quality claimsMLXmain
Chungulus/Qwen3.8-27B-MTP-GGUFread in full: no quality claimsGGUFmain
Chungulus/Qwen3.8-27B-Q2_K-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-Q3_K_L-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-Q3_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-Q3_K_S-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-Q4_K_S-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-Q5_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-Q5_K_S-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-Q6_K-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Chungulus/Qwen3.8-27B-Q8_0-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Ckary/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
cloudnathan5/Qwen3.8-27B-NVFP4a16-AWQnot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
Codydaoust/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
cole17e/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
compute1/Qwen3.8-27B-W8A8-INT8not yet reviewedINT8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
CorVous/Qwen3.8-27B-heretic-ara-GGUFread in full: no quality claimsGGUFmain
CrossNow/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
CrossNow/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
cryptonaut/Qwen3.8-27B-Uncensored-Aggressivenot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ctz168/Qwen3.8-27B-GGUF-q4kmnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
cvgro/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
cxc-ryan/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
cyankiwi/Qwen3.8-27B-AWQ-BF16-INT4read in full: no quality claimsAWQNo quality claims for the quant (card read in full): benchmark tables [L98-221, L229-259] are the upstream Qwen3.8-27B base model results, not measurements of this quant; only model size stated [L33]main
cyankiwi/Qwen3.8-27B-AWQ-FP8read in full: no quality claimsAWQNo quality claims for the quant (card read in full): only model size 31.28 GB [L34]; benchmark tables [L112-260] are the upstream Qwen3.8-27B model card, not quant measurementsmain
cyankiwi/Qwen3.8-27B-AWQ-INT4read in full: no quality claimsAWQNo quality claims for the quant (card read in full): benchmark tables [L99-222, L230-260] are the upstream Qwen3.8-27B base model results, not measurements of this quant; only model size stated [L34]main
CyberGamer/Qwen3.8-27B-UD-IQ2_S-RouteCache-GGUFread in full: no quality claimsGGUFmain
Cyrile/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
dabeet24/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
dancinlab/Qwen3.8-27B-Uncensored-FP8not yet reviewedFP8modified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
dancinlab/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
darioooooo0o/Qwen3.8-27B-GPTQ-Int4-asymread in full: no quality claimsGPTQmain
darkbit1001/Qwen-3.8-27B-exl3-4.500bpw-hb6read in full: no quality claimsEXL3No quality claims for the quant (card read in full): only the original Qwen3.8-27B model-card benchmark tables for the base model, not the quant [L87-239]main
darkbit1001/Qwen3.8-27B-exl3-4.00bpw-hb8read in full: no quality claimsEXL3No quality claims for the quant (card read in full): only quant settings [L18-26] and the upstream Qwen3.8-27B original model-card benchmark tables [L87-212, L220-251], which describe the base model not this quantmain
datamart99/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
DavidAU/Qwen3.8-27B-Turbo-Brilliance-50X-Reasoning-Instruct-NEO-MAX-MTP-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): no quant quality metrics; only usage guidance and sample generations [L194-214, L717-724]main
davisliu/Qwen3.8-27B-MXFP4-VL-MTPnot yet reviewedMXFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
dbrasdasilva/Qwen3.8-27B-FP8-MTPnot yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
dbrasdasilva/Qwen3.8-27B-NVFP4-MTPnot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
dbrasdasilva/Qwen3.8-27B-Text-NVFP4-MTPread in full: no quality claimsNVFP4No quality claims for the quant (card read in full): KV-cache ceilings, context and decode tok/s only; no accuracy or divergence numbers [L58-68, L107-141]main
ddalcu/Qwen3.8-27B-MLX-Serve-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ddalcu/Qwen3.8-27B-MLX-Serve-8bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
dealignai/Qwen3.8-27B-UNCENSORED-GGUFread in full: no quality claimsGGUFmain
dendriteholdings/Ingot-genesis-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
deresolution/Qwen3.8-27B-mxfp4not yet reviewedMXFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
derikn/Qwen3.8-27B-AWQ-INT4not yet reviewedAWQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
desva0/Qwen3.8-27B-Uncensored-W4A16not yet reviewedINT4modified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Deuiz/Qwen3.8-27B-Q3_K_S-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
devan-carlin/Qwen3.8-27B-int4-AutoRoundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
developerjeremylive/Ternary-Bonsai-2-27B-gguf-etheroinot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
DevQuasar/Qwen.Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
dfischermittwald/Qwen3.8-27B-NVFP4-DFlash2read in full: no quality claimsNVFP4No quality claims for the quant (card read in full): decode-throughput table only [L93-102]; fidelity is a pass count (OCR 36/36) [L167-168] and truncated KL whose numbers live in KLD.md, not the card [L170-174]main
DGM0N/Qwen3.8-27B-exl3-3.125bpwread in full: no quality claimsEXL3No quality claims for the quant (card read in full): card is the upstream Qwen3.8-27B base-model card; benchmark tables [L60-224] are base-model scores, no number about this quantmain
dhruv1672/spartan-studybuddy-qwen3.8-27b-nvfp4read in full: no quality claimsNVFP4No quality claims for the quant (card read in full): speculative decoding throughput/TTFT/acceptance table only; fine-tune eval_loss is not a quant-quality comparison [L76-95,L61]main
DhruvalLabs/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Didkk/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
DimInfer/Qwen3.8-27B-Dspark-v1read in full: no quality claimsotherNo quality claims for the quant (card read in full): speculative-decoding drafter; decode speed, accepted length and speedup tables only [L36-46, L58-63, L108-115]main
Distillio/Qwen3.8-27B-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Donee/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Dongwei18416/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
DonnyFlo85/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
douyamv/Qwen3.8-27B-FP8read in full: no quality claimsFP8No quality claims for the quant (card read in full): only qualitative 'near-original accuracy' wording and size (~27 GB) / VRAM reduction (~50%) [L36-37, L42]main
douyamv/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
dowands/NeoJev-Qwen3.8-27B-L56-MLXread in full: no quality claimsMLXmain
dpstill/Qwen3.8-27B-GDNMix-NVFP4-NInfernot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
DreamFoundries/Qwen3.8-27B-6bitread in full: no quality claimsotherNo quality claims for the quant (card read in full): size and bits-per-weight statement only [L14]main
DreamFoundries/Qwen3.8-27B-8bitread in full: no quality claimsotherNo quality claims for the quant (card read in full): size and bits-per-weight only [L14]main
dudeman2512/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
dudeman2512/Qwen3.8-27B-int4not yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
ediuedddward/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
edp1096/Huihui-Qwen3.8-27B-abliterated-FP8not yet reviewedFP8modified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
eebyp/Qwen3.8-27B-GGUF-Q4_K_Mnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
eemin/Qwen3.8-27B-NVFP4-MTP-2x16GBnot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
eemin/Qwen3.8-27B-ROCmI4-MTP-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
el4/Qwen3.8-27B-ONYX-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Elmerfudge/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
EnclaveHost/qwen3.8-27b-mtp-ggufread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): GGUF header geometry and serving-size arithmetic only [L43-57, L104-117]; no fidelity or benchmark numbersmain
EnclaveHost/qwen3.8-27b-mtp-q8-vl-ggufread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): decode speed table and short smoke checks only, explicitly not an accuracy evaluation [L116-119, L124-128]main
eniairaph07/Qwen3.8-27b-FABLE-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): benchmark tables [L29-62] are model-level scores with no per-quant measurement; GGUF table is sizes only [L68-73]main
erobey/Qwen3.8-27B-mlx-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
erobey/Qwen3.8-27B-mlx-8bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
exeterminal/Exe-Core-Dynamic-V1-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): file type/bits/size table only [L74-85]; no per-quant quality numbers shown (evaluation section L111-123 concerns the fine-tune, no figures in candidates)main
FAISALFAZALHUSSAIN/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
Fancp/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Farggin/Lobo-Qwen3.8-27B-GSQ-RCO-IQ3_S-MTP-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): artifact size and provenance only; no quality numbers [L18-39]main
Fastiraz/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
fcmeyer/Qwen3.8-27B-MLX-oQ4e-mtpread in full: no quality claimsMLXNo quality claims for the quant (card read in full): speed/size/draft-acceptance only; no fidelity or accuracy numbers [L19, L26]main
FenomAI/Qwen3.8-27B-AWQ-INT4read in full: no quality claimsAWQNo quality claims for the quant (card read in full): only model size (21.02 GB) in header table [L34]; benchmark tables [L96-260] are the official base-model Qwen3.8-27B results, not this quantmain
FenomAI/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Fhjdjdbxhshsh/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
FlatFootInternational/Qwen3.8-27B-mlx-6bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
FlatFootInternational/Qwen3.8-27b-MTPLX-Q6G64not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Flow-wolF69/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
FokusDK/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Fr4nkSt3in/Qwen3.8-27B-BF16-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
FreedomAISVR/Qwen3.8-27B-MXFP4-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
FreedomAISVR/Qwen3.8-27B-NVFP4-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
FreeMangione221/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Frozenlock/Qwen3.8-27B-int4-AutoRoundread in full: no quality claimsAutoRoundNo quality claims for the quant (card read in full): only size, MTP draft acceptance and speed stated; no accuracy/KL/perplexity numbers [L18-20, L34-42]main
fyqfy/Qwen3.8-27B-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): copied Unsloth upstream card with no tables or measured values; only an unquantified marketing claim of better top-1 accuracy [L35] and base-model descriptionmain
gabmiranda/Qwen3.8-27B-oQ2.5e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gabmiranda/Qwen3.8-27B-oQ2.7e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gabmiranda/Qwen3.8-27B-oQ2e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gabmiranda/Qwen3.8-27B-oQ3.5e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gabmiranda/Qwen3.8-27B-oQ3e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gabmiranda/Qwen3.8-27B-oQ4e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gabmiranda/Qwen3.8-27B-oQ5e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gabmiranda/Qwen3.8-27B-oQ6e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gabmiranda/Qwen3.8-27B-oQ8e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
GalaxyS2Gordon/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gaunernst/Qwen3.8-27B-MXFP6not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
GCSA-AiLab/Qwen3.8-27B-Abliterated-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
geezyforeezy/Qwen3.8-27B-OBLITERATEDnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ggh5454/Qwen3.8-27B-MLX-4bitread in full: no quality claimsMLXmain
ggh5454/Qwen3.8-27B-MLX-8bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gghfez/Qwen3.8-27B-Q5_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ggml-org/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ghgdhhsacd/Qwen3.8-27B-Ridge-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gihakkk/Qwen3.8-27B-GGUF-testnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
giocom/Qwen3.8-27B-MXFP4-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Gokugamer/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
GoldfingerCH/Qwen3.8-27B-abliterated-NVFP4not yet reviewedNVFP4modified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
GotoAI-Inc/Qwen3.8-27B-W4A16not yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
gpillon/Qwen3.8-27B-nvfp4full-dflash2-NInfernot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
GreenBitAI/Qwen3.8-27B-4bitread in full: no quality claimsotherNo quality claims for the quant (card read in full): decode speed and draft acceptance tables only [L28-48]; claims output unchanged by draft head but gives no quality number [L19-20]main
grimoni/Qwen3.8-27B-SSMFIX-UD-Q4_K_XL-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
groxaxo/Qwen3.8-27B-3bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
groxaxo/Qwen3.8-27B-abliterated-GPTQ-Proread in full: no quality claimsGPTQNo quality claims for the quant (card read in full): MTP speed tables only [L30-35, L120-123, L143-149]; bf16 KV 'no measurable quality penalty' is unquantified [L155]main
groxaxo/Qwen3.8-27B-Selective-AWQ-A45not yet reviewedAWQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
groxaxo/Qwen3.8-27B-UD-IQ4_XS-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
gshe-x2333/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Guile/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
HaberstrohSystems/Qwen3.8-27B-int4-g128-sym-autoroundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Hagwell/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Hagwell/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
hailun-core/Qwen3.8-27B-mlx-6Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
hailun-core/Qwen3.8-27B-mlx-8Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
halt95/Qwen3.8-27B-W4A16-Merlinnot yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
hammadRahman/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
hanchen1145/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
HandleCoding/Qwen3.8-27B-nvfp4-NInfernot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
hardcoremoore/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
hariharanv04/Qwen3.8-27B-mlx-2Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
harmontr/Qwen3.8-27B-Q2_K-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): size/BPW and MTP speed tables only [L42-60, L92-97, L167]main
Hefen2959512/Qwen3.8-27B-ZeroRefusal-UD-IQ4_XS-MTP-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Hirt556/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
hitsfmdj/Qwen3.8-27B-GGUF-4.2BPW-16GBread in full: no quality claimsGGUFmain
Hjx2/Qwen3.8-27B-Q4_K_S-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
hoborific/Qwen3.8-27B-W8A16-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
holooo/Qwen3.8-27B-Q2_K-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Honkware/Qwen3.8-27B-exl3-3.8bpwnot yet reviewedEXL3Not yet reviewed: card has not been read in full; it may contain quality claimsmain
Honkware/Qwen3.8-27B-exl3-4.5bpwnot yet reviewedEXL3Not yet reviewed: card has not been read in full; it may contain quality claimsmain
htrhdjy/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
huake/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
hugobugo34/Qwen3.8-27B-ROCmFPX-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
huihui-ai/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
hwkranger/Qwen3.8-27B-heretic-ara-NVFP4not yet reviewedNVFP4modified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ibsophobia/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
iceDonkey/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
id-2/rox-r1-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ig1/Qwen3.8-27B-NVFP4-FP8KV-MTPread in full: no quality claimsNVFP4No quality claims for the quant (card read in full): calibration description and MTP draft acceptance (~56% with 3 tokens) only, no quality metric vs a reference [L31-36, L92]main
igor255/Qwen3.8-27B-AWQ-INT4-H8-MTP4not yet reviewedAWQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
igor255/Qwen3.8-27B-DFlash2-EXL3-4.00bpwread in full: no quality claimsEXL3No quality claims for the quant (card read in full): speculative-decoding acceptance length and throughput tables only [L81-127]; no quality number for the quantmain
igorvibes/Qwen3.8-27B-UD-Q4_K_XL-AWQ-MTP-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
igorvibes/Qwen3.8-27B-UD-Q5_K_XL-AWQ-MTP-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
igorvibes/Qwen3.8-27B-UD-Q6_K_XL-AWQ-MTP-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
igroc656/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ikantkode/Qwen3.8-27B-AWQ-vdread in full: no quality claimsAWQNo quality claims for the quant (card read in full): no quality number visible in the digest; only size and AWQ settings [L21,L38-39]; the 'Measured performance' table [L23-34] contents are not shown so could not be mappedmain
ilyakam/Geer-Qwen3.8-27B-4-8bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ilyakam/Geer-Qwen3.8-27B-6bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
immiq/Qwen3.8-27B-Orinfer-E8P-Q4A8read in full: no quality claimsotherNo quality claims for the quant (card read in full): size and compatibility only; card says full LLM benchmarks and BF16 quality evaluation are outside scope [L16, L22, L49]main
impacte/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
IMUGLYHUH/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
incept5/Qwen3.8-27B-MLX-4bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): only a qualitative smoke test and peak memory [L48-100]; benchmark tables [L173-322] are the upstream Qwen3.8-27B model card, not quant measurementsmain
incept5/Qwen3.8-27B-MLX-8bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): only qualitative smoke test [L46-101] and size/memory notes; benchmark tables [L157-321] are the upstream base-model scores, not this quantmain
incept5/Qwen3.8-27B-MLX-bf16read in full: no quality claimsMLXNo quality claims for the quant (card read in full): bf16 cast with no quantization; smoke test not run on bf16 [L51-57]; only the upstream Qwen3.8-27B model benchmarks are pasted [L137-301]main
incoai/Qwen3.8-27B-DFlash2-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Inferact/Qwen3.8-27B-MXFP4not yet reviewedMXFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
Inferact/Qwen3.8-27B-NVFP4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-FP8-BLOCKnot yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-FP8-DYNAMICnot yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-Gauss-FP8-W8A8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-Gauss-NVFP4-W4A4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-GPTQ-Gauss-NVFP4-W4A4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-GPTQ-IMatrix-Gauss-NVFP4-W4A4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-GPTQ-IMatrix-PerfectBlend-NVFP4-W4A4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-GPTQ-PerfectBlend-NVFP4-W4A4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-PerfectBlend-FP8-W8A8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
inference-optimization/Qwen3.8-27B-DSpark-PerfectBlend-NVFP4-W4A4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
Infermatic/Hemmingway-1-FP8-Dynamicread in full: no quality claimsFP8No quality claims for the quant (card read in full): benchmark charts (CommunicationBench, EQ-Bench 4, StoryBench) are images evaluating the Hemmingway-1 model itself, not the quant; no numeric cells [L39-95]main
Intel/Qwen3.8-27B-bpw2.8-AutoRoundread in full: no quality claimsAutoRoundmain
Intel/Qwen3.8-27B-q2ks-AutoRoundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Intel/Qwen3.8-27B-q4km-AutoRoundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Israeli-AI/Qwen3.8-27B-MTP-W4A16-VOLTA-Ampereread in full: no quality claimsINT4No quality claims for the quant (card read in full): size and MTP acceptance-length speed table only [L34-43]main
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUFread in full: no quality claimsGGUFmain
Ivanuk4PDA/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ixdx/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
JackAgentLead/Jack-3.8-27B-Coder-16GB-VRAMnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
JackAgentLead/Jack-3.8-27B-V2-VL-16GB-VRAMread in full: no quality claimsotherNo quality claims for the quant (card read in full): narrative card, no quant quality numbers; states V2-specific evaluation treated separately and V1 results do not transfer [L599,L733]main
JackBinary/Qwen3.8-27B-GGUF-ROCMFPXnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jacobcarajo/Qwen3.8-27B-Q5_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jaehyeono/Qwen3.8-27B-W3A16-GPTQnot yet reviewedGPTQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jakeatx/Qwen3.8-27B-ATX-IQ4_XS-M-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): speed/size/context tables only [L47-55]; quality only 'expected between Q3_K_XL and Q4_K_M', comparison 'in progress' [L55]main
jalbrethsen-highflame/Qwen3.8-27B-NPU2not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jaredhollins/Qwen3.8-27B-OBLITERATEDnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jaromer/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
JasonW2025/Qwen3.8-27B-NVFP4-W4A16read in full: no quality claimsNVFP4main
jchonde/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jenerallee78/Qwen3.8-27B-Abliterated-SFTread in full: no quality claimsothermain
Jerem62/Qwen3.8-27B-Q8_0-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jesusoctavioas/Qwen3.8-27B-mlx-2Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jesusoctavioas/Qwen3.8-27B-mlx-3Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jesusoctavioas/Qwen3.8-27B-mlx-4Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jesusoctavioas/Qwen3.8-27B-mlx-8Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ji-farthing/Qwen3.8-27B-ik-llama-GGUFread in full: no quality claimsGGUFmain
jj33512/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
jksdfosd/Qwen3.8-27B-INT4-both-mtpnot yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
jksdfosd/Qwen3.8-27B-INT4-mtpqnot yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
jmarceno/Qwen3.8-27B-DFlash2-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): draft model GGUF; only file sizes and decode speed/acceptance/prefill tables [L45-49, L135-138]; upstream acceptance lengths are task figures for the draft, not quant quality [L155-157]main
johninthepool/Qwen3.8-27B-MTPLX-8bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
johninthepool/Qwen3.8-27B-VL-mlx-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
johnnyeric/Qwen3.8-27B-Uncensored-NVFP4read in full: no quality claimsNVFP4main
JonathanColetti/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
josecjr23232/gen-llm-qwen38not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
joydle/Qwen3.8-27B-Arf-GGUFread in full: no quality claimsGGUFmain
joyfox/JoyFox-Reverie-27Bnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
joyfox/Qwen3.8-27B-Uncensored-JoyFox-Aggressivenot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ2.5e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ2.5e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ2e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ3.5e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ3e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ3e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ4e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ4e-mtpread in full: no quality claimsothermain
Jundot/Qwen3.8-27B-oQ6e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ6e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ8e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Jundot/Qwen3.8-27B-oQ8e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
k1lliiviie/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
KaedeTai/dflash2-mlx-quantized-draftread in full: no quality claimsMLXNo quality claims for the quant (card read in full): speed/size/acceptance tables only [L37-41, L49-53, L61-65]main
KAISLMR1/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
kaitchup/Qwen3.8-27B-GSQ-INT2-10eread in full: no quality claimsotherNo quality claims for the quant (card read in full): hyperparameter table only [L14-28]; quality only described qualitatively ('significantly underperform') [L12]main
kaitchup/Qwen3.8-27B-GSQ-INT2-INT3-10eread in full: no quality claimsotherNo quality claims for the quant (card read in full): hyperparameter table only; qualitative 'significantly underperform' with no number [L12-28]main
kaitchup/Qwen3.8-27B-GSQ-INT2-INT3-20eread in full: no quality claimsotherNo quality claims for the quant (card read in full): hyperparameter table only [L14-28]; text says only that it significantly underperforms the original, with no number [L12]main
kaitchup/Qwen3.8-27B-GSQ-INT3-10eread in full: no quality claimsotherNo quality claims for the quant (card read in full): hyperparameter table only [L14-28]; prose says models significantly underperform the original without a number [L12]main
kaitchup/Qwen3.8-27B-hum-quality-MTP-19.2GBnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Kaktus4048/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Kamnsv/Qwen3.8-27B-AWQ-INT4not yet reviewedAWQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
kancilbersayap/Qwen3.8-27B-Uncensored-MLXread in full: no quality claimsMLXmain
karlsencoin/Karlsen-Chat-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
karnodel/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
KasugaiSakura/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
KasugaiSakura/Qwen3.8-27B-Uncensored-JonathanColetti-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
kdercksen/Kev-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Kecven/Qwen3.8-27B-MTPLX-Q4read in full: no quality claimsotherNo quality claims for the quant (card read in full): speed and MTP draft-acceptance table only [L46-51]main
Kecven/Qwen3.8-27B-MTPLX-Q4-Dynamicread in full: no quality claimsotherNo quality claims for the quant (card read in full): speed and MTP acceptance tables only [L55-L60, L74-L79]; no quality metric vs referencemain
Kecven/Qwen3.8-27B-MTPLX-Q8read in full: no quality claimsotherNo quality claims for the quant (card read in full): speed and MTP draft acceptance only [L46-51, L61-71]; Q4 vs Q8 table is throughput [L75-85]main
kedric/Qwen3.8-27B-MR-GPTQ-NVFP4-GB10not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
KENIC-1/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
kenotron/Qwen3.8-27B-mlx-4Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
keXjos/Qwen3.8-27B-mlx-2Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
khalifah66362666/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
KikoCis/Qwen3.8-27B-GGUFread in full: no quality claimsGGUFmain
kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUFread in full: no quality claimsGGUFmain
kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): speed/size table only [L60-64]; card states no perplexity and no quality A/B vs BF16 [L140-141]; only a tools 7/7 functional check [L15]main
kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4-STRIX-MTP-GGUFread in full: no quality claimsGGUFmain
KingKassell/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
kirillbilchenko/Qwen3.8-27B-MXFP4-MxWave-GGUFread in full: no quality claimsGGUFmain
KissMyShinyArse/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
kizuna-intelligence/Qwen3.8-27B-int4-qepnot yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
Krasnopjorovs/Qwen3.8-27B-Imatrix-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): MTP speed/acceptance table [L39-45] and size table only [L66-79]; no quality number for any quantmain
KridgeDookie/Qwen3.8-27B-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASSread in full: no quality claimsotherNo quality claims for the quant (card read in full): BF16 checkpoint; only refusal/coherence screens, no quant fidelity numbers [L27,L41]main
l2dy/Qwen3.8-27B-MXFP4-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lactroiii/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
lactroiii/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
laladream/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
LanguaMan/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Launch80/Qwen3.8-27B-PARO-MXFP4read in full: no quality claimsMXFP4main
ldov/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
LeeMantras/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lemonyins/Qwen3.8-27B-ULTIMATE-UNCENSORED-MTP-IQ4-GGUF-16GBread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): memory and speed tables only; card says perplexity figures are carried over and pending verification [L57-73, L86]main
LeonaQuantum/leonaq-1read in full: no quality claimsothermain
lesa80/Qwen3.8-27B-MLX-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
letechlead/Huihui-Qwen3.8-27B-Abliterated-INT4-W4A16-AutoRoundnot yet reviewedAutoRoundmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lfitoto/Qwen3.8-27B-Uncensored-NVFP4not yet reviewedNVFP4modified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
LibertAIDAI/Qwen3.8-27B-NVFP4-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): file sizes and speed tables only (llama-bench, batched-bench) [L33-38, L48-63]; no KLD, PPL or benchmark scores; calibration described but vision/multilingual quality explicitly not measured [L85-86]main
LibertAIDAI/Qwen3.8-27B-NVFP4-MTP-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): file-size table [L35-41] and MTP throughput/acceptance tables [L53-73] only; caveats state vision/multilingual/code not evaluated [L103-104]main
Litwein/Qwen3.8-27B-oQ4e-DWQ-MTP-MLXread in full: no quality claimsMLXmain
livebylord/Qweblethos-v1-GGUF-EXPEREMENTIALread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): held-out loss/perplexity compares base vs LoRA fine-tune on 128 examples, not any quant's fidelity [L55-62]; Q4_K_M file has only a smoke test [L70]main
lmstudio-community/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lmstudio-community/Qwen3.8-27B-MLX-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lmstudio-community/Qwen3.8-27B-MLX-5bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lmstudio-community/Qwen3.8-27B-MLX-6bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lmstudio-community/Qwen3.8-27B-MLX-8bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
local-inference-lab/Qwen3.8-27B-NVFP4-QADnot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
localweights/Qwen3.8-27B-MTP-IMAT-IQ4_XS-Q8nextn-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lokeshe09/Qwen3.8-27B-FP8-Dynamicnot yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
lokeshe09/Qwen3.8-27B-INT8not yet reviewedINT8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
lokeshe09/Qwen3.8-27B-W4A16not yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
LoveGlaze/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lstari/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lstari/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF-q4kpnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Lucebox/Qwen3.8-27B-DFlash2-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-2bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-2bit-MLX-TextOnlynot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-3bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-3bit-MLX-TextOnlynot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-4bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-4bit-MLX-TextOnlynot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-5bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-5bit-MLX-TextOnlynot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-6bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-6bit-MLX-TextOnlynot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-8bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lukaskremla/Qwen3.8-27B-8bit-MLX-TextOnlynot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
lumos12/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
LunarMoonar/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
LunarMoonar/Huihui-Qwen3.8-27B-abliterated-GGUF-2not yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
LunarMoonar/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
LunarMoonar/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF-6-bitnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
maccelerate/Qwen3.8-27B-UD3-Q3_K_XL-MLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): size and effective bits only [L24, L61-62]; card explicitly claims no numerical parity with GGUF [L32]main
maccelerate/Qwen3.8-27B-UD3-Q4_K_M-MLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): size and allocation description only; card explicitly disclaims numerical parity [L24, L32]main
maccelerate/Qwen3.8-27B-UD3-Q4_K_XL-MLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): size and bit-width allocation only [L24,L44]; card disclaims numerical parity with the GGUF [L32]main
maccelerate/Qwen3.8-27B-UD3-Q5_K_M-MLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): size and bits-per-weight only; card disclaims numerical parity [L24,L32]main
maccelerate/Qwen3.8-27B-UD3-Q6_K-MLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): size and allocation only; card claims no numerical parity [L24,L32]main
maccelerate/Qwen3.8-27B-UD3-Q6_K_M-MLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): size (22.94 GB) and effective bits per weight (6.716) only; card explicitly claims no numerical parity [L24, L32]main
maccelerate/Qwen3.8-27B-UD3-Q8_K_XL-MLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): size and allocation only; card states no numerical parity claim with the source GGUF [L24,L32,L57]main
mahdisml/Qwen3.8-27B-Q5_0-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
malaiwah/Qwen3.8-27B-AWQ-INT4-archival-63768c10read in full: no quality claimsAWQNo quality claims for the quant (card read in full): archival mirror of cyankiwi/Qwen3.8-27B-AWQ-INT4; benchmark tables [L121-283] are the upstream Qwen3.8-27B base model results, not this quant; only model size stated [L57]main
malaiwah/Qwen3.8-27B-GGUF-archival-f1bfb127read in full: no quality claimsGGUFmain
malaiwah/Qwen3.8-27B-MTP-NVFP4-archival-6d98dc1fnot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
manubc33/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Marcin116/Qwen3.8-27B-W4A16-AutoRound-fast-embed-int4not yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
MariaLover/pplx-computer-qwen-3-8-27b-dflash2-20260824not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
MarxistLeninist/Qwen3.8-27B-IQ1_M-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): runtime smoke tests, speed, VRAM and tool-call pass/fail checks only; no PPL, KLD or benchmark scores [L55-94]main
Mary114514/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mattbucci/Qwen3.8-27B-AWQread in full: no quality claimsAWQmain
matvei-aleksandrovich/Qwen3.8-27B-MLX-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Max73333/Qwen3.8-27B-GPTQ-Int4-V100not yet reviewedGPTQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
maxidistination/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
medismera/Qwen3.8-27B-Surgical-Abliteratednot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
medismera/Qwen3.8-cyber-RedTeam-Surgical-Abliteratedread in full: no quality claimsotherNo quality claims for the quant (card read in full): native FP8 weights, no quant fidelity numbers; validation table is task scenarios with status only [L76,L89]main
mensaprodigy/Qwen3.8-27B-oQ6e-mtp-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
merve/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
meteorlad/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Mia-AiLab/Qwen3.8-27B-DFlash2-EXL3-5.0bpwread in full: no quality claimsEXL3No quality claims for the quant (card read in full): draft acceptance length and decode speed only [L57-63]main
Mia-AiLab/Qwen3.8-27B-EXL3read in full: no quality claimsEXL3No quality claims for the quant (card read in full): links to bpw branches only, no quality or size numbers [L26-45]main
michaelw9999/Qwen3.8-27B-MXFP8-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mickyba/Qwen3.8-27B-3bit-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Mike0021/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mikeinnyc/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16not yet reviewedGPTQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mikeyoubeach/qwen3.8-27b-uncensored-ninfer-v3not yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mincon/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mingxianderen/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mingxianderen/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
minte1431/Qwen3.8-27B-OBLITERATEDnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
minte1431/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
MIRALABS/Qwen3.8-27B-W4A16-AutoRoundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
MisterSnrub/Qwen3.8-27B-PARO-MXFP4-v2read in full: no quality claimsMXFP4No quality claims for the quant (card read in full): only an R9700 serving measurement table with no visible numbers [L14-26]; recipe text has no quality numbersmain
mistrjirka/Qwen3.8-27B-PXQ-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mixbits/Qwen3.8-27B-NVFP4-MTP-VL-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mjsxi/qwen-3.8-27b-mlx-mtp-mxfp4not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mjsxi/qwen-3.8-27b-mlx-mtp-mxfp8not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
MKRWW/Qwen3.8-27B-int4-AutoRoundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlasli/Qwen3.8-27B-Heretic-Abliterated-MLX-8bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): no quant-fidelity metric (no KLD/ppl); refusal and capability tables are for the BF16 checkpoint [L53-59, L74-83]; 8-bit smoke-test rows are refusal rates only [L64-69]main
mlasli/Qwen3.8-27B-Heretic-Uncensored-IQ2_M-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlasli/Qwen3.8-27B-Heretic-Uncensored-IQ4_XS-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlasli/Qwen3.8-27B-Heretic-Uncensored-Q4_K_M-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlasli/Qwen3.8-27B-Heretic-Uncensored-Q5_K_M-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlasli/Qwen3.8-27B-Heretic-Uncensored-Q6_K-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlasli/Qwen3.8-27B-Heretic-Uncensored-Q8_0-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): sizes table plus a refusal-rate smoke test (behavioral direct/refuse percentages), no PPL, KLD or benchmark fidelity numbers [L42-62]main
mlx-community/Qwen3.8-27B-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlx-community/Qwen3.8-27B-8bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlx-community/Qwen3.8-27B-MTP-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlx-community/Qwen3.8-27B-MTP-8bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlx-community/Qwen3.8-27B-MTP-mxfp4not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlx-community/Qwen3.8-27B-MTP-mxfp8not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlx-community/Qwen3.8-27B-MTP-nvfp4not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlx-community/Qwen3.8-27B-mxfp4not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlx-community/Qwen3.8-27B-mxfp8not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mlx-community/Qwen3.8-27B-nvfp4not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
movez66/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
movez66/Qwen3.8-27B-Q5_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
movez66/Qwen3.8-27B-Q8_0-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mradermacher/Qwen3.8-27B-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): quant size table only [L38-52]; card says sorted by size, not necessarily quality [L36]main
mradermacher/Qwen3.8-27B-i1-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): size table only with qualitative notes [L40-56]main
MrDiDi/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
mstyslavity/Qwen3.8-27B-mlx-8Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
muhammad-taqi512/LYRA-prismnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
muxiln/Qwen3.8-27B-int4-AutoRoundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Muyuxiao/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
N8STORM/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nathansutton/Qwen3.8-27B-UD-Q3_K_XL-DFlash2-MLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): decode speed table only [L48-53]; footprint [L27]; perplexity mentioned as selection method without numbers [L30]main
nathansutton/Qwen3.8-27B-UD-Q3_K_XL-MTP-MLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): size/footprint and scheme description only, no quality numbers [L22-26]main
navispace/Qwen3.8-27B-W8A16-GPTQread in full: no quality claimsGPTQmain
nchapman/Qwen3.8-27B-W4A16-GPTQread in full: no quality claimsGPTQmain
ndraos/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
neroued/Qwen3.8-27B-NInfernot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nesoai-dev-org/prism-ml-Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nesoai-dev/prism-ml-Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
neuralforgequantum/Qwen3.8-27B-DFlash2-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): draft-model file sizes [L40-44] and speculative-decoding acceptance length table only [L91-95]; no fidelity or quality metricmain
NeuralNet-Hub/Qwen3.8-27B-Uncensored-NVFP4not yet reviewedNVFP4modified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
NexVeridian/Qwen3.8-27B-5bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
NexVeridian/Qwen3.8-27B-6bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
NexVeridian/Qwen3.8-27B-8bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Nicolassuez/Qwen3.8-27B-W4A16not yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
Nicolassuez/Qwen3.8-27B-W4A16-GDNread in full: no quality claimsINT4main
Nielk38/Qwen3.8-27B-MTP-GGUF-SPLITnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
NikDowse/Qwen3.8-27B-Q6_K-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
NikiKrutan/Qwen3.8-27B-MTP-GGUFread in full: no quality claimsGGUFmain
NilVoid/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ninfer-5080/Qwen3.8-27B-RTX5080not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nom666/Qwopus3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
noname222/Swift-Qwen3.8-27B-Uncensored-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Nonyabizneza/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nova-quill/Huihui-Qwen3.8-27B-abliterated-mlxnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nova-quill/Huihui-Qwen3.8-27B-abliterated-unsloth-mlxnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
NoxNotreve/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
npario/Qwen3.8-27B-8bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
npario/Qwen3.8-27B-Abliterated-MLX-6bitnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
npario/Qwen3.8-27B-MLX-5bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
npario/Qwen3.8-27B-Ridge-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
npario/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
npario/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nuottroisaoduoc/Bonsai-2-27B-Ternary-CRACK-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nurdich/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nvidia/Qwen3.8-27B-NVFP4read in full: no quality claimsNVFP4main
nvythong/Qwen3.8-27B-mlx-4Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nvythong/Qwen3.8-27B-mlx-6Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nvythong/Qwen3.8-27B-mlx-8Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nwtgck/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
nydemeth/Qwen3.8-27B-Uncensored-Q4_0-ROCmFP4-STRIXnot yet reviewedNVFP4modified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Nyrud99/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
OBLITERATUS/Qwen3.8-27B-OBLITERATEDread in full: no quality claimsothermain
offmonreal/Qwen3.8-27B-MaxQuality-iMatrix-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): speed/draft-acceptance tables and file sizes only [L22-65, L85-91]; benchmark tables at L223-385 are the upstream Qwen3.8-27B model card, not the quantsmain
omidthekaiser/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
OnlyTextLLMs/Qwen3.8-27B-OnlyText-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): file sizes and speed tables only [L25-29, L39-46]main
OpenVINO/Qwen3.8-27B-int4-ovnot yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
OpenVINO/Qwen3.8-27B-int8-ovnot yet reviewedINT8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
OptimizeLLM/Qwen3.8-27B-heretic-MTP-FP8read in full: no quality claimsFP8No quality claims for the quant (card read in full): only abliteration KL (0.065 vs base on harmless prompts, Heretic ruler) and MTP acceptance/speed stated, no quant quality measurement [L29, L63-69, L106]main
orcarouter/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
oroboros-labs/claude-opus-9-undecillion-9u5go5-ssenot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
OsaurusAI/Qwen3.8-27B-JANG_4Dnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
OsaurusAI/Qwen3.8-27B-JANGH2not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
OsaurusAI/Qwen3.8-27B-MXFP8read in full: no quality claimsMXFP8main
Oscilla/Qwen3.8-27B-4bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
oshinoWng/Qwen3.8-27B-Uncensored-HauhauCSnot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ovi1337/Bonsai-2-27B-CRACK-Ternary-oMLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
OzuKun/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
p4ik/Qwen3.8-27B-MLX-4bitread in full: no quality claimsMLXmain
p4ik/Qwen3.8-27B-MLX-8bitread in full: no quality claimsMLXmain
p4ik/Qwen3.8-27B-MLX-OptiQ-4bitread in full: no quality claimsMLXmain
p4ik/Qwen3.8-27B-MLX-OptiQ-5bitread in full: no quality claimsMLXmain
P4pps3n/Qwen3.8-27B-exl3-4.0bpw-hb8-single3090read in full: no quality claimsEXL3main
PaddyThePonderer/qwen3.8-27b-c40-uncensorednot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
palmfuture/Qwen3.8-27B-GPTQ-Int4read in full: no quality claimsGPTQmain
Paprykulus/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
parsimo2010/Qwen3.8-27B-Q4_0_ROCMFP4_STRIX-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): speed, memory and draft-acceptance tables only [L251-L437]; card states KV-cache quantization quality was not measured [L457-L460]main
PassingByPixels/Qwen3.8-27B-NVFP4read in full: no quality claimsNVFP4No quality claims for the quant (card read in full): explicitly no quality evaluation run; size and throughput only [L29-31, L201-203]main
peculiar-ragdoll/Dirk-Qwen3.8-27B-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): file size table only [L95-108]; template benchmarks at L74-76 are on a different model (Dagger/ThinkingCap-27B); ISTA quality comparison is described without numbers and attributed to ISTA [L119-123]main
peculiar-ragdoll/Dirk-Qwen3.8-27B-MLX-oQ4eread in full: no quality claimsMLXmain
peculiar-ragdoll/Dirk-Qwen3.8-27B-MLX-oQ6eread in full: no quality claimsMLXNo quality claims for the quant (card read in full): tables at L68-72 are template-effect results measured on the Dagger (Qwen3.6-based) model; Dirk's own results are in-progress images [L31-39,L75]; quant table is size only [L89-92]main
perplexity-ai/pplx-computer-qwen-3-8-27b-dflash2-20260824not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
perplexity-ai/pplx-computer-qwen-3-8-27b-dflash2-gguf-20260826read in full: no quality claimsGGUFNo quality claims for the quant (card read in full): file sizes [L26-28] and speculative-decoding acceptance/accepted length on CPU [L59-62] only; no quant fidelity numbersmain
perplexity-ai/pplx-qwen-3-8-27b-dflash2-20260819not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
pertai/Qwen3.8-27B-ETnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
pertai/qwen38-et-27b-GGUFread in full: no quality claimsGGUFmain
petergilani/Qwen3.8-27B-MTP-8bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Peutlefaire/Qwen3.8-27B-NVFP4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
philipg11/Qwen3.8-27B-mlx-8Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
pinvou/Qwen3.8-27B-NVFP4-Tachyonnot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
pitcany/Qwen3.8-27B-FP8read in full: no quality claimsFP8No quality claims for the quant (card read in full): benchmark tables [L66-228] are the upstream Qwen3.8-27B base model results; FP8 quality only described qualitatively as nearly identical [L19]main
PixelML/Bonsai-2-27B-W4A16read in full: no quality claimsINT4main
Plaguekind/Qwen3.8-27B-FrostDFlash-MixedLow-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): DFlash2 drafter sidecard; only file sizes, bpw, speed and draft acceptance, no fidelity or accuracy numbers vs a reference [L61-70, L166-183]main
Plana-Chan/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
pottokao/Qwen3.8-27B-NVFP4-MTP-2x16GBread in full: no quality claimsNVFP4main
prabanta-dev/Qwen3.8-27B-JNSnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
prakharprasad/Qwen3.8-27B-Uncensored-GGUFread in full: no quality claimsGGUFmain
Preyazz/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
preyy2/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
prism-ml/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
prism-ml/Ternary-Bonsai-2-27B-gguf-devnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
prithivMLmods/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
prithivMLmods/Qwen3.8-27B-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): only restates Qwen's published base-model benchmark scores [L31]; no quant-level quality numbermain
ProCreations/Ternary-Bonsai-2-27B-MTPread in full: no quality claimsotherNo quality claims for the quant (card read in full): decode tokens/sec and MTP draft acceptance only; objective and vision checks stated as historical and not rerun [L27-42]main
pugant/Qwen3.8-27B-imatrixnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
pugant/Qwen3.8-27B-MTP-Q4_0_ROCMFP4_STRIX_LEANread in full: no quality claimsNVFP4No quality claims for the quant (card read in full): speed/decode and MTP acceptance benchmarks only, no perplexity/KLD/accuracy numbers [L52-99,L131-144]main
qaqab/Qwen3.8-27B-Uncensored-Q4_K_M-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
qaqab/Qwen3.8-27B-Uncensored-Q4_K_M-Vision-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
qqwu/Qwen3.8-27B-Uncensored-IQ4-XS-MTP-16GB-VRAM-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
QQZ2026/Qwen3.8-27B-NVFP4-Q5K-no-MTP-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
QQZ2026/Qwen3.8-27B-ZeroRefusal-UD-IQ4_XS-MTP-GGUFread in full: no quality claimsGGUFmain
qtum/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
quark75/Qwen3.8-27B-MXFP4-GGUFread in full: no quality claimsGGUFmain
Qui-Linta13/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
quimmedes/Qwen3.8-27B-XYZread in full: no quality claimsotherNo quality claims for the quant (card read in full): size/BPW tables only [L48-70, L178-198]main
Qwen/Qwen3.8-27B-FP8read in full: no quality claimsFP8No quality claims for the quant (card read in full): only qualitative 'nearly identical' claim [L16]; benchmark tables [L63-L216] are for the original Qwen3.8-27B, not the FP8 quantmain
RadixArk/Qwen3.8-27B-NVFP4read in full: no quality claimsNVFP4main
rafw007/Qwen3.8-27B-redteam-abliteratedread in full: no quality claimsotherNo quality claims for the quant (card read in full): decode/prompt speed table and qualitative behavioral test notes only [L58-62,L72-92]main
randmaru/Qwen3.8-27B-mlx-mxfp4-text-generation-onlynot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
rapid-mlx/Qwen3.8-27B-4bit-MTP-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
rAVEUK/Qwen3.8-27B-GSQ-RCO-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Ravirajabhat154/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
rawmodels/Qwen3.8-27B-antislop-semdiv-grpo-bnb-4bitread in full: no quality claimsbitsandbytesNo quality claims for the quant (card read in full): tables are before/after fine-tuning style metrics measured on bf16 weights; card says not to quote them for this 4-bit copy [L11,L28-37]main
RedHatAI/Qwen3.8-27B-INT4not yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
RedHatAI/Qwen3.8-27B-NVFP4read in full: no quality claimsNVFP4main
RESMP-DEV/Qwen3.8-27B-MLX-GPTQ-MXFP4read in full: no quality claimsMLXmain
Riyan200324200324/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
RKNNAI/RK1828-LLM-Qwen3.8-27Bnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
robertbschuette/Qwen3.8-27B-OBLITERATEDnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
RonnieOps/Qwen3.8-27B-IQ4_XSread in full: no quality claimsothermain
ross-dev/SexyGPT-v3-Thinking-Female-ggufread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): only SFT eval loss, held-out reply rate and reward-model accuracy, no quant quality measurement [L226-235]main
RukaRat/Qwen3.8-27B-INT8-W8A8-imatrix-MTPread in full: no quality claimsINT8main
RukaRat/Qwen3.8-27B-W4A16-imatrix-heretic-MTPread in full: no quality claimsINT4main
RukaRat/Qwen3.8-27B-W4A16-imatrix-int8head-MTPread in full: no quality claimsINT8main
Ruurd/Qwen3.8-27B-ONNX-WebGPU-INT4not yet reviewedONNXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Ryn1998/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
rzgar/Qwen3.8-27B-NVFP4-ComfyUInot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
sakamakismile/Qwen3.8-27B-MTP-NVFP4read in full: no quality claimsNVFP4No quality claims for the quant (card read in full): throughput table and size only [L25-34]; no KLD/PPL/benchmark vs bf16main
sanbanfu/Qwen3.8-27B-ShortThink-NVFP4-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
SandLogicTechnologies/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Saviitt/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
scottlowry/Qwen3.8-27B-oQ4e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
scottlowry/Qwen3.8-27B-oQ4e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
scottlowry/Qwen3.8-27B-oQ5e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
scottlowry/Qwen3.8-27B-oQ5e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
scottlowry/Qwen3.8-27B-oQ6e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
scottlowry/Qwen3.8-27B-oQ6e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
scottlowry/Qwen3.8-27B-oQ8e-fp16-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
scottlowry/Qwen3.8-27B-oQ8e-mtpnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
seabit-ai/Qwen3.8-27B-DFlash2-4bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
senaro/atlasv23-qwen3-8-27b-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
sensitivecontent/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
serajfast4/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
SeraphicHero/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16read in full: no quality claimsGPTQmain
SGLabs/Qwen3.8-27B-Pym-IQ2_XXS-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Sh200126/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shawnw3i/Huihui-Qwen3.8-27B-abliterated-AWQ-MTPnot yet reviewedAWQmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shawnw3i/Qwen3.8-27B-AWQ-MTPnot yet reviewedAWQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shawnw3i/Qwen3.8-27B-GPTQ-INT8-MTPnot yet reviewedGPTQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shawon/Qwen3.8-27B-mlx-4Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shawon/Qwen3.8-27B-mlx-8Bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
sheovsn/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Shiftedx/Qwen3.8-27B-Abliterated-MLX-MXFP4not yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Shiftedx/Qwen3.8-27B-Abliterated-MLX-MXFP4-MTPread in full: no quality claimsMLXmain
Shiftedx/Qwen3.8-27B-Abliterated-MLX-MXFP8not yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Shiftedx/Qwen3.8-27B-MLX-MXFP4not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Shiftedx/Qwen3.8-27B-MLX-MXFP4-MTPnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Shiftedx/Qwen3.8-27B-MLX-MXFP8not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shoukewei/Qwen3.8-27B-OBLITERATED22not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shoukewei/Qwen3.8-27B-OBLITERATED22-AGENTnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shoukewei/Qwen3.8-27B-Uncensored-GGUF22not yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shsunshining/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
shuijiaodawang/Qwen3.8-27B-ABLITERATED-UNCENSORED-PHILADELPHIA-CLASSnot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Simplepotat/Qwen3.8-27B-IQ5_KS-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): file/size/SHA table only [L23-L26]; quality assumed from predecessor recipe, no number [L19]main
sktthehacker/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
slevinw/Qwen3.8-27B-RAM-13GB-GGUFread in full: no quality claimsGGUFmain
SlickPulla/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Slomin/Potato-CODER-24GBread in full: no quality claimsotherNo quality claims for the quant (card read in full): validation (KL of cache types, LiveCodeBench-80) described without numeric values; fit/context recipe only [L189-L202, L206-L208]main
slopops/Qwen3.8-27B-int4-AutoRound-SARnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
slothingaway/Qwen3.8-27B-Q8_0-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
SmartyJohnway/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
SoAIHQ/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
sokada4/Qwen3.8-27B-GPTQ-Int4read in full: no quality claimsGPTQNo quality claims for the quant (card read in full): serving speed table (TTFT/TPOT/throughput, MTP acceptance rate) only, no quality numbers [L54-61]main
soyrsoyr/Qwen3.8-27B-FP8-DYNAMIC-MTPread in full: no quality claimsFP8No quality claims for the quant (card read in full): MTP speculative acceptance table only, no quality metric vs a reference [L71-L82]main
spotapovadm/Huihui-Qwen3.8-27B-abliterated-AWQ-MTPnot yet reviewedAWQmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
spotapovadm/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
srv-sngh/Qwen3.8-27B-mlx-4bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): only official full-model benchmark scores, explicitly not this quantization [L83-94]; size/memory otherwisemain
ssfsvc/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
starskyzheng/ninfer-5080-qwen3.8-27bread in full: no quality claimsotherNo quality claims for the quant (card read in full): format-share table, MTP acceptance and performance only [L56-61, L114-118]main
steampunque/Qwen3.8-27B-MP-GGUFread in full: no quality claimsGGUFmain
Steven10429/Qwen3.8-27B-UD-IQ4_XS-MLX-mtpread in full: no quality claimsMLXNo quality claims for the quant (card read in full): speed and draft-acceptance table only [L25-29]; greedy output token-identical to baseline [L23]; tensor relative error vs bf16 mtp.* only [L68]main
Sudi8dw/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
sudoingx/Ternary-Bonsai-2-27B-PTQ1_0-MTP-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): tok/s tables, draft acceptance and VRAM/size only [L71-99]; losslessness stated as byte-identical greedy output without a quality metric [L109]main
Suhyoduh/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
superkuh/Qwen3.8-27B-UD-IQ3_XXS-ASCII-Condensedread in full: no quality claimsotherNo quality claims for the quant (card read in full): vocabulary-pruning edit of unsloth UD-IQ3_XXS; table lists vocab/merge/row counts only, no quality measurement [L29-35]main
SuperLogic/Qwen3.8-27B-Flash-MTP-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
suryatmodulus/Qwen3.8-27B-S-experimentalnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Suseezz/Qwen3.8-27B-Uncensored-IQ4-XS-MTP-16GB-VRAM-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Svenuks/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
swdjojo/Qwen3.8-27B-MLX-oQ4enot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
swdjojo/Qwen3.8-27B-MLX-oQ5enot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
swdjojo/Qwen3.8-27B-MLX-oQ6enot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
swdjojo/Qwen3.8-27B-MLX-oQ8enot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
sweetand/qwen3.8-27b-1Cnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
SwinliQ-AIn-2/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TAKADOX/Bonsai-2-27B-Ternary-CRACK-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TaterTotterson/Qwen3.8-27B-GGUF-Tater-NoThinknot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
tchbcb/nqwen27not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TechPrototyper/Qwen3.8-27B-DFlash2-fp8-vllmnot yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
Ted17846578368756/qwen38-uncensored-mlx4b-mtpnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
tejones36/qwen3.8-27B-mlx-mixed-3_6not yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TensorFold/Qwen3.8-27B-MLX-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TensorFold/Qwen3.8-27B-MLX-6bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TensorFold/Qwen3.8-27B-MLX-8bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TensorFold/Qwen3.8-27B-oQ2not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TensorFold/Qwen3.8-27B-oQ4not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TensorFold/Qwen3.8-27B-oQ6not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TensorFold/Qwen3.8-27B-oQ8not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TensorVizion/Qwen-27B-Abliterated-MLX-2-Bitnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
terahertz/Qwen3.8-27B-8bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Terathox-Coder/Qwen3.8-27B-MTP-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
testmymodel112/Qwen3.8-27B-Uncensored-FP8not yet reviewedFP8modified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
The-Sapient-Company/ghost-x1-w4a16not yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
thebadking/Qwen3.8-27B-Heretic-Abliterated-Uncensored-P1M-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Thebeatdrops/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
TheCluster/Qwen3.8-27B-Heretic-MLX-4bitnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TheCluster/Qwen3.8-27B-MLX-mixed-6bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
TheCluster/Qwen3.8-27B-MLX-mixed-9.4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
thetinkerer/Qwen3.8-27B-TOS-v1read in full: no quality claimsotherNo quality claims for the quant (card read in full): HolyC fine-tune; performance section header only, no numbers extracted [L15]main
TheWegemann/Qwen3.8-27B-LowGPU-NoMTP-IQ3XXXS-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
thoddnn/Qwen3.8-27B-8bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
thomasgardiner/Qwen3.8-27B-DFlash2-FP8read in full: no quality claimsFP8No quality claims for the quant (card read in full): draft-model acceptance length and decode throughput tables only [L35-40, L50-55]; target tokens are unchanged under greedy verification [L42]main
Tijani12/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
timothyckl/Qwen3.8-27B-6bit-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
timteh673/Qwen3.8-27B-Opus-Reasoning-Control-MLX-8bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): frozen local benchmark table compares control-bf16 vs abliterix-pass1-bf16 models (fine-tune/abliteration effects), not the MLX 8-bit quant itself [L38-51]main
tiyuvta/Qwen3.8-27B-NVFP4-MTP-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): decode tok/s and MTP draft acceptance rate only [L30-35,L63-79,L123-127,L224-231]; file sizes [L91-100]; no fidelity or accuracy number for any quantmain
Tkayyyy702/Qwen3.8-27B-OBLITERATEDnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
tokenfires/Qwen3.8-27B-MLX-6bit-MTPLXread in full: no quality claimsMLXNo quality claims for the quant (card read in full): speed and acceptance tables only [L46-51, L59-64]; quality checks mentioned without numbers [L53]main
ToPo-ToPo/Qwen3.8-27B-mlx-4bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ToPo-ToPo/Qwen3.8-27B-mlx-8bitnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Toprak1yu/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Tostibrown/Qwen3.8-27B-5bit-affine-g64not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
treeish/Qwen3.8-27B-oQ2e-MTP-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
treeish/Qwen3.8-27B-oQ3e-MTP-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
treeish/Qwen3.8-27B-oQ4e-MTP-MLXnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
trevon/Qwen3.8-27B-GGUF-MTPnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
trevor000/Ternary-Bonsai-2-27B-RTX4070not yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
trklzz/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
troed/Qwen3.8-27B-ASCII-Condensednot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
trymirai/Qwen3.8-27B-Lread in full: no quality claimsotherNo quality claims for the quant (card read in full): method description only, no quality numbers in card text [L49-53]main
trymirai/Qwen3.8-27B-Mread in full: no quality claimsotherNo quality claims for the quant (card read in full): method description and size-tier comparability statement only, no quality numbers visible [L49-53]main
trymirai/Qwen3.8-27B-S-experimentalnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
tsii42/Qwen3.8-27B-W8A8-Dynamic-Ascend-310P-vLLMread in full: no quality claimsINT8No quality claims for the quant (card read in full): throughput, latency and functional smoke-test pass counts only; no fidelity or benchmark scores [L178-271]main
TTQHY/Qwen3.8-27B-8bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
turboderp/Qwen3.8-27B-exl3read in full: no quality claimsEXL3No quality claims for the quant (card read in full): branch links listing bits-per-weight only, no measurements [L19-37]main
TWG1412/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
ubergarm/Qwen3.8-27B-GGUFread in full: no quality claimsGGUFmain
Ujwal087/Qwen3.8-27B-Q8_0-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ukuwzi/Qwen3.8-27B-mlx-Q4_K_Mnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
ulkaa/Qwen3.8-27B-AWQ-INT4not yet reviewedAWQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
unsloth/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
unsloth/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
unsloth/Qwen3.8-27B-NVFP4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
unsloth/Qwen3.8-27B-unsloth-bnb-4bitnot yet reviewedbitsandbytesNot yet reviewed: card has not been read in full; it may contain quality claimsmain
urakozz/Qwen3.8-27B-W4A16-g64-AutoRound-GPTQnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
utautako/Qwen3.8-27B-NVFP4-MTP-Q8attn-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): speed and MTP draft-acceptance table only [L93-110]; accuracy only described qualitatively [L30-33]main
utrominon/Qwen3.8-27B-AWQ-BF16-INT8not yet reviewedAWQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Vaibhavhome30/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
valeryepwi/Qwen3.8-27B-Q4_K_M-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
validi2007/Ternary-Bonsai-2-27B-ggufnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
vanchi34200/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
VantCdx/Qwen3.8-27B-Q4_0-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
vasiliy-mikhailov/Qwen3.8-27B-nvfp4-ru-NInferread in full: no quality claimsNVFP4main
vaultai/Qwen3.8-27B-8bitnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
vaultai/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
vcruz305/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
VIDraft/Qwen3.8-27B-FP8not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
VikramPal/Qwen3.8-27B-DynQuant-3bitread in full: no quality claimsothermain
vincespeed/Qwen3.8-27B-No-MTP-GGUF-Dflash2not yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
vincespeed/Qwen3.8-27B-No-MTP-GGUF-Dflash2-Kquantread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): size/BPW and tensor-type tables only, no KLD/PPL/benchmark numbers [L13-18,L133-140]main
Vishva007/Qwen3.8-27B-W4A16-AutoRoundnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Vishva007/Qwen3.8-27B-W4A16-AutoRound-GPTQnot yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
VocaborSilentii/Qwen3.8_UnCennot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
vs4vijay/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Vtuber-plan/Huihui-Qwen3.8-27B-abliterated-NVFP4read in full: no quality claimsNVFP4main
vvsotnikov/Qwen3.8-27B-MLX-4bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): no quality or size numbers; only conversion recipe and checksum verification [L47-66]main
vvsotnikov/Qwen3.8-27B-MLX-8bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): conversion recipe and checksum verification only, no quality or size numbers [L47-66]main
vvsotnikov/Qwen3.8-27B-MTP-MLX-4bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): MTP drafter checkpoint; verification table lists only block_size, no quality number [L86-91]main
vvsotnikov/Qwen3.8-27B-MTP-MLX-8bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): MTP drafter checkpoint; no quality number, only block_size verification [L86-91]main
VykosX/Qwen3.8-27B-HyperQwen-W4A16-Fast-Preparednot yet reviewedINT4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
Warumauchimmer/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
wayzer2321/Luna-27B-GGUF-Archivenot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
webhie/Qwen3.8-27B-Q4-AutoRound-Code-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
weddle/Qwen3.8-27B-AutoRound-W4A16-G128not yet reviewedAutoRoundNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Weirdo333/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
weqrzsddfwqe/Qwen3.8-27B-cybersecuritynot yet reviewedothermodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
Whytime/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
williamliao/Qwen3.8-27B-NVFP4-GGUFread in full: no quality claimsGGUFNo quality claims for the quant (card read in full): speed/acceptance benchmarks and size only; card says no model-quality benchmark against BF16 was performed [L341]main
wodheifn/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
wuji2006/Qwen3.8-27B-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
xannie1/Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
xCloudinfo/Qwen3.8-27B-Uncensored-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
xleeelx/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
xrachelburns/Huihui-Qwen3.8-27B-abliterated-GGUFnot yet reviewedGGUFmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
XReyRobert/Qwen3.8-27B-GPTQ-Pro-FOEM-4bit-g128-ns256read in full: no quality claimsGPTQNo quality claims for the quant (card read in full): recipe, serving profile and size (18.22 GiB) only; the Terminal-Bench Smoke24 scores 16/24 and 17/24 at L143-146 belong to the separate INT8-Head-Embeddings hybrid derivative, not this repomain
XReyRobert/Qwen3.8-27B-GPTQ-Pro-FOEM-4bit-g128-ns256-INT8-Head-Embeddingsread in full: no quality claimsGPTQmain
xs7david/Qwen3.8-27B-Q2_K-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
xv0y5ncu/Qwen3.8-27B-GLQ-trellis-3inst-3bpwread in full: no quality claimsothermain
xv0y5ncu/Qwen3.8-27B-GLQ-trellis-3inst-4bpwread in full: no quality claimsothermain
yailabs/Qwen3.8-27B-Text-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
YCWTG/Qwen3.8-27B-NVFP4A16-GPTQnot yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
ynotelbon/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
YoozLabs/Qwen3.8-27B-lean-4bit-mlxread in full: no quality claimsMLXmain
YourHighnessLA/L0xRE-27b-Lownot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
yukimakura/Qwen3.8-27B-Q4_K_M-GGUF-2GB-splitnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
yyrgzn/Qwen3.8-27B-FP8-EfficientThink-Uncensored-NInfer-v3read in full: no quality claimsFP8main
yyrgzn/Qwen3.8-27B-FP8-NInfer-v3not yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
z-lab/Qwen3.8-27B-DFlash2-GGUFnot yet reviewedGGUFNot yet reviewed: card has not been read in full; it may contain quality claimsmain
z-lab/Qwen3.8-27B-PAROnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
z4bfg/Qwen3.8-27B-MLX-8bitread in full: no quality claimsMLXNo quality claims for the quant (card read in full): only functional case pass count (5/6) and peak-memory comparison vs BF16; no KLD/ppl/benchmark numbers [L147-150]main
zankich/Qwen3.8-27B-W8A16-FP8KVnot yet reviewedFP8Not yet reviewed: card has not been read in full; it may contain quality claimsmain
zhangxinjie2026/Qwen3.8-27B-NVFP4not yet reviewedNVFP4Not yet reviewed: card has not been read in full; it may contain quality claimsmain
zherebetskyy/Qwen3.8-27B-4bit-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
zherebetskyy/Qwen3.8-27B-6bit-mlxnot yet reviewedMLXNot yet reviewed: card has not been read in full; it may contain quality claimsmain
zherebetskyy/Qwen3.8-27B-mxfp8-mlxread in full: no quality claimsMLXmain
zherebetskyy/Qwen3.8-27B-nvfp4-mlxread in full: no quality claimsMLXNo quality claims for the quant (card read in full): size and target-VRAM table plus qualitative perplexity wording only, no numeric quality values [L44, L52-57]main
zipperlein/Qwen3.8-27B-GPTQ-W4A8-MTP-Amperenot yet reviewedGPTQNot yet reviewed: card has not been read in full; it may contain quality claimsmain
zlaabsi/Qwen3.8-27B-OTQ-GGUFread in full: no quality claimsGGUFmain
zomiailabs/Qwen3.8-27B-Uncensored-MLXnot yet reviewedMLXmodified weightsNot yet reviewed: card has not been read in full; it may contain quality claimsmain
zveloxy/Veloxy-Titan-32Bnot yet reviewedotherNot yet reviewed: card has not been read in full; it may contain quality claimsmain
zyhector/Qwen3.8-27B-TokenRush-int4g128read in full: no quality claimsINT4No quality claims for the quant (card read in full): only size (17.0 GB) and format description (asymmetric int4, group 128) [L17-26]main

How this was built

We listed every repository Hugging Face tags as a quantization of Qwen/Qwen3.8-27B (1220 on 2026-10-17) and saved each raw README.md at its pinned commit into a local ledger, so nothing is re-fetched. Cards that reproduce another publisher's numbers are detected by comparing claim lines across all cards and are not counted as independent measurements. Results published only as chart images were transcribed from their labels and checked against the marker positions in the image. Numbers were extracted with the line they came from, then a script confirmed that 4981 published values appear verbatim on their cited lines (0 failures). For every card that carried measured claims at the first pass (196 of 1220), a second reader re-extracted the numbers without seeing our data, and disagreements were resolved against the source text; the remaining cards were each read in full by one reader. Rows a card quotes from elsewhere are marked "quoted" and are not counted as measurements; rows measured on a different model are left out (0). File sizes without a card figure come from Hugging Face's file listing at the same commit.

Cards for this model were captured through the Hugging Face connector on 18 Oct 2026 and are pinned by the SHA-256 of their exact text, not by commit. Source links point to the current card, which may have changed since capture.

Not covered: claims made only off-site or only in images, 14 repos whose cards are gated (access denied to our account), repos the Hub search did not return, and repos created or changed after 2026-10-17. Found an error or a new quant? Open an issue or pull request; each claim lives in a plain data file with its source line.