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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
DeepSeek-V4.1-FlashDeepseek—26.0 · EXL3 3.0 bpw231.6 · FP4+FP8 native39
GLM-5.3-FlashGLM—250.6 · compressed-tensors264.6 · W4A1621
Qwen3.6-35B-A3BQwen129.4 · UD-Q4_K_XL969.4 · MQ4R330.2 · NVFP417
Muse-Glimmer-30BMuse56.0 · UD-Q4_K_XL161.9 · UD-Q8_K_XL152.2 · NVFP413
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
NVIDIA-Nemotron-3.5-Lightning-30B-A3BNemotron116.0 · NVFP4446.7 · NVFP4217.9 · W4A169
Qwen 3.8 FlashQwen——86.8 · EXL3 3.05bpw8
Ornith-1.5-9BQwen102.0 · Q4_K_M49.6 · Q8_061.5 · BF168
DeepSeek-V4-Flash-0731Deepseek—91.2 · FP8_E4M3185.6 · FP87
Qwen3.8-27B-MTPQwen—117.7 · NVFP4112.1 · NVFP47
Qwen3.8-Flash-Next-hibrid48Qwen——474.0 · NVFP4 (output head)5
LFM2.5-350MLFM437.7 · MQ4466.0 · MQ4—5
Laguna-XS-2.1Laguna—283.1 · Q5_K_M GGUF—5
Qwen3.5-0.8BQwen545.3 · MQ4554.5 · MQ4—5
gemma-4-26B-A4B-itGemma62.1 · UD-Q4_K_M209.8 · Q4_K_M—4
Qwen3.8-27B-UncensoredQwen74.1 · IQ2_XXS136.4 · GPTQ-Int4—4
Ling-3.0-tinyLing52.6 · Q4_K_M232.8 · Q8_0369.1 · Q4_K_M4
gemma-4-12B-itGemma89.7 · Q4_K_XL88.3 · Q8_0—4
Qwen3.6-27B-MTPQwen—41.2 · Q4_K_M60.1 · Q6_K4
gemma-4-31B-itGemma15.8 · Q4_K_M25.4 · Q4_K_XL28.3 · NVFP44
Qwen3.8-9B-DistillQwen76.4 · Q4_K_M——3
Laguna-S-2.1Laguna—125.5 · INT4_W4A1663.3 · Q4_K_M3
Qwen3-14BQwen75.0 · Q4_K_M—90.8 · FP83
NVIDIA-Nemotron-3-Nano-4BNemotron185.8 · Q4_K_M237.8 · Q8_0—3
gpt-oss-20bGpt93.4 · Q4_K_M307.2 · MXFP4—3
DeepSeek-V4.1-Flash-1017DeepSeek-V4.1-Flash——190.0 · EXL3 3.5bpw3
gemma-4-E2B-itGemma113.4 · Q4_K_M232.6 · Q4_K_M—3
gemma-4-E4B-itGemma70.9 · Q4_K_M161.5 · Q8_0—3
gemma-4-12B-it-qatGemma71.2 · Q4_0130.8 · Q4_0—3
LFM2.5-230MLFM481.8 · MQ4520.0 · MQ4—3
Qwen3-30B-A3B-Instruct-2507Qwen—312.9 · Q4_K_M—2
Qwen3.5-9BQwen51.9 · Q4_K_M38.6 · bfp_bf4—2
DeepSeek-R1-Distill-Qwen-7BDeepseek-R139.8 · Q8_0213.3 · Q4_K_M—2
Qwen3-0.6BQwen310.4 · Q8_0—956.4 · Q4_K_M2
gemma-4-26B-A4B-it-qatGemma95.3 · Q4_K_M254.3 · Q4_0—2
MiniMax-M2.7Minimax—94.5 · INT4 AutoRound W4A16495.9 · FP82
Qwen3-Coder-30B-A3B-InstructQwen—263.0 · Q6_K26.1 · FP82

491 runs · last run Oct 17, 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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