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Compatibility Matrix

Best community run per VRAM tier for the most-run open-weight models. Cells show tok/s and quantization — the same model often lands in multiple tiers via different quants. Full board · Submit your run.

Model familyAllArceeBaichuanBTLCohereDeepseekDeepseek-CoderDeepseek-R1DeepSeek-V4.1-FlashGemmaGLMGptHunyuanKimiKwaipilotLagunaLFMLingLlamaMiniCPM-VMinimaxMistralMobileLLMMuseNemotronOrnithPhiQwenQwen3.8RNJSparkunknown

ModelFamily<24GB24–48GB>48GBruns
Qwen3.8-27BQwen391.0 · NVFP44546.8 · NVFP41392.4 · W4A1667
Qwen3.8-Flash-NextQwen81.8 · Q2_0145.8 · W4A16+FP8-KV204.5 · FP8_E4M340
Qwen3.6-35B-A3BQwen129.4 · UD-Q4_K_XL969.4 · MQ4R330.2 · NVFP417
Qwen3.6-27BQwen60.6 · IQ4_XS240.8 · AutoRound INT4101.4 · FP811
Ornith-1.5-35B-A3BQwen64.4 · Q4_K_M258.8 · NVFP487.1 · Q8_09
Qwen 3.8 FlashQwen——86.8 · EXL3 3.05bpw8
Ornith-1.5-9BQwen102.0 · Q4_K_M49.6 · Q8_061.5 · BF168
Qwen3.8-27B-MTPQwen—117.7 · NVFP4112.1 · NVFP47
Qwen3.5-0.8BQwen545.3 · MQ4554.5 · MQ4—5
Qwen3.8-Flash-Next-hibrid48Qwen——474.0 · NVFP4 (output head)5
Qwen3.8-27B-UncensoredQwen74.1 · IQ2_XXS136.4 · GPTQ-Int4—4
Qwen3.6-27B-MTPQwen—41.2 · Q4_K_M60.1 · Q6_K4
Qwen3-14BQwen75.0 · Q4_K_M—90.8 · FP83
Qwen3.8-9B-DistillQwen76.4 · Q4_K_M——3
Ornith-1.0-9BQwen52.5 · Q4_K_M31.2 · BF16—2
Bonsai-27BQwen72.9 · Q1_0136.7 · Q1_0—2
Qwen3-30B-A3B-Instruct-2507Qwen—312.9 · Q4_K_M—2
Qwen3-0.6BQwen310.4 · Q8_0—956.4 · Q4_K_M2
Qwen3-4BQwen—80.2 · Q4_K_M—2
Qwen3.5-27BQwen—286.6 · MQ4-AWQ—2
QUEST-30B-RL-B70-TurboQwen—94.6 · Q5_K_M—2
Ternary Bonsai 2 27BQwen3.8———2
Ornith-1.5-35B-A3B-MTPQwen55.3 · Q4_K_M—33.2 · FP82
Qwen3.5-9BQwen51.9 · Q4_K_M38.6 · bfp_bf4—2
Qwen3-Coder-30B-A3B-InstructQwen—263.0 · Q6_K26.1 · FP82
Qwen3.6-35B-A3B-MTPQwen—222.9 · Unsloth-Dynamic-IQ4_XS—2
KAT-Coder-V2.5-Dev-AWQ-W4A16-ASYMQwen—201.2 · W4A16—1
Ornith-1.0-35B-PrismaAURA-4.75bit-vllm-MTPQwen—283.1 · NVFP4—1
Huihui-Qwen3.8-27B-abliteratedQwen—117.7 · NVFP4—1
Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-PreservedQwen—25.4 · GPTQ—1
Qwen3.8-27B-Fable-DistillQwen—198.8 · Q4_K_M—1
Qwen3.8-27B-5090-goldilocksQwen—93.5 · Q6_K—1
Qwythos-9B-v2Qwen51.1 · Q4_K_M——1
Qwen3.5-35B-A3BQwen—209.3 · Q4_K_M—1
Qwen3-4B-Thinking-2507Qwen—219.7 · Q8_0—1
Qwen2.5-VL-7B-InstructQwen—222.4 · Q4_K_S—1
Qwen3.5-4BQwen78.6 · Q4_K_M——1
Qwen3.8-27B-RidgeQwen9.0 · Ridge-3.7bpw——1
Ornith-1.5-35B-A3B-GPTQ-Int4-sym-G128-MTP-BF16-MixedCal-v2Qwen—108.4 · GPTQ-Int4—1
Unsloth-Ornith-1.5-35B-A3BQwen53.3 · Q2_K_XL——1

264 runs · last run Oct 14, 2026. Filter by family above; full board for every row.

VRAM tiers: <24 GB · 24–48 GB · >48 GB. A cell shows the best single-stream tok/s and quant recorded in that tier — not a guarantee for every loadout. Imported rows carry their original methodology link.

Related guides: best GPU for Qwen3 · quantization · Strix Halo 128GB

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