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What AI models can a Radeon RX 7900 XT (20 GB) run?

The Radeon RX 7900 XT has 20 GB of VRAM and 800 GB/s memory bandwidth. 53 models run well on it and 4 more are a tight fit.

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Best for general use

Highest MMLU score among models that run well

  1. Qwen3.6 27B Q4_K_M 54K context · ~46 tok/s · MMLU 86.2
  2. Qwen3.5 27B Q4_K_M 72K context · ~48 tok/s · MMLU 86.1
  3. Gemma 4 31B Q4_K_M 23K context · ~42 tok/s · MMLU 85.2

Best for coding

Highest SWE-bench Verified score among models that run well

  1. Qwen3.8 27B Q4_K_M 76K context · ~49 tok/s · SWE-bench 86
  2. Qwen3.6 27B Q4_K_M 54K context · ~46 tok/s · SWE-bench 77.2
  3. Muse Glimmer 30B Q4_K_M 128K context · ~48 tok/s · SWE-bench 76

Upgrade options

The cheapest GPUs with more VRAM than the Radeon RX 7900 XT, by launch MSRP.

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Every model on the Radeon RX 7900 XT

99 of 200 model configurations can run on 20 GB — sorted by quality

100 models, each counted once by the best way it runs on your hardware.

Largest that runs well Laguna XS 2.1 33.44B params · Q4_K_M · 22K context
Fastest good-quality model Phi-3 Mini 3.8B ~236 tok/s · Q4_K_M · 48K context
? MMLU (Massive Multitask Language Understanding) measures general knowledge across 57 subjects. Higher = more capable. Sorted best-first.

Runs well 53

  • Qwen3.6 27B 27B Excellent VisionTool useReasoning
    MMLU 86.2
    Q4_K_M
    Context 54K Speed ~46 tok/s
    Q8_0 Doesn't fit · needs 28.1 GB
  • Qwen3.5 27B 27B Excellent VisionTool useReasoning
    MMLU 86.1
    Q4_K_M
    Context 72K Speed ~48 tok/s
    Q8_0 Doesn't fit · needs 26.7 GB
  • Gemma 4 31B 31B Excellent VisionTool useReasoning
    MMLU 85.2
    Q4_K_M
    Context 23K Speed ~42 tok/s
    Q8_0 Doesn't fit · needs 30.5 GB

Runs well 53

  • Qwen3.6 27B 27B Excellent VisionTool useReasoning
    MMLU 86.2
    Q4_K_M
    Context 54K Speed ~46 tok/s
    Q8_0 Doesn't fit · needs 28.1 GB
  • Qwen3.5 27B 27B Excellent VisionTool useReasoning
    MMLU 86.1
    Q4_K_M
    Context 72K Speed ~48 tok/s
    Q8_0 Doesn't fit · needs 26.7 GB
  • Gemma 4 31B 31B Excellent VisionTool useReasoning
    MMLU 85.2
    Q4_K_M
    Context 23K Speed ~42 tok/s
    Q8_0 Doesn't fit · needs 30.5 GB
  • Phi-4 14B 14.7B Excellent
    MMLU 84.8
    Q4_K_M
    Context 16K Speed ~80 tok/s
    Q8_0
    Context 16K Speed ~48 tok/s
  • Qwen3.8 27B 27.78B Excellent VisionTool useReasoning
    MMLU 84.3
    Q4_K_M
    Context 76K Speed ~49 tok/s
    Q8_0 Doesn't fit · needs 27.1 GB
  • Gemma 4 26B A4B 26B Great VisionTool useReasoning
    MMLU 82.6
    Q4_K_M
    Context 217K Speed ~233 tok/s

    MoE — speed based on ~2.44 GB active experts (full 15.87 GB loaded in VRAM)

    Q8_0 Doesn't fit · needs 25.0 GB
  • Qwen3.5 9B 9B Great VisionTool useReasoning
    MMLU 82.5
    Q4_K_M
    Context 256K Speed ~127 tok/s
    Q8_0
    Context 256K Speed ~81 tok/s
  • Magistral Small 24B 23.6B Great ReasoningVisionTool use
    MMLU 82
    Q4_K_M
    Context 37K Speed ~52 tok/s
    Q8_0 Doesn't fit · needs 25.2 GB
  • GLM-4.7 Flash 31B Great ReasoningTool use
    MMLU 82
    Q4_K_M
    Context 33K Speed ~41 tok/s
    Q8_0 Doesn't fit · needs 31.9 GB
  • Mistral Small 3.1 24B 23.6B Great VisionTool use
    MMLU 81
    Q4_K_M
    Context 37K Speed ~52 tok/s
    Q8_0 Doesn't fit · needs 25.2 GB
  • Qwen 2.5 14B 14.7B Great Tool use
    MMLU 79.9
    Q4_K_M
    Context 60K Speed ~80 tok/s
    Q8_0
    Context 23K Speed ~48 tok/s
  • Qwen3.5 4B 4B Great VisionTool useReasoning
    MMLU 79.1
    Q4_K_M
    Context 256K Speed ~225 tok/s
    Q8_0
    Context 256K Speed ~155 tok/s
  • Qwen3 8B 8.2B Great ReasoningTool use
    MMLU 79
    Q4_K_M
    Context 109K Speed ~133 tok/s
    Q8_0
    Context 82K Speed ~82 tok/s
  • Gemma 3 27B 27B Great Vision
    MMLU 78
    Q4_K_M
    Context 45K Speed ~46 tok/s
    Q8_0 Doesn't fit · needs 28.8 GB
  • Gemma 4 12B 11.96B Great VisionTool useReasoning
    MMLU 77.2
    Q4_K_M
    Context 256K Speed ~105 tok/s
    Q8_0
    Context 256K Speed ~63 tok/s
  • Nemotron Nano 12B 12.6B Great ReasoningTool use
    MMLU 76
    Q4_K_M
    Context 128K Speed ~96 tok/s
    Q8_0
    Context 128K Speed ~57 tok/s
  • GPT-OSS 20B 21B Great ReasoningTool use
    MMLU 75
    Q4_K_M
    Context 128K Speed ~63 tok/s
    Q8_0
    Context 128K Speed ~61 tok/s
  • Qwen 2.5 7B 7.62B Good Tool use
    MMLU 74.2
    Q4_K_M
    Context 128K Speed ~141 tok/s
    Q8_0
    Context 128K Speed ~88 tok/s
  • Qwen 2.5 VL 7B 7.62B Good VisionTool use
    MMLU 74.2
    Q4_K_M
    Context 128K Speed ~141 tok/s
    Q8_0
    Context 128K Speed ~88 tok/s
  • Gemma 3 12B 11.8B Good Vision
    MMLU 74
    Q4_K_M
    Context 128K Speed ~96 tok/s
    Q8_0
    Context 122K Speed ~59 tok/s
  • Qwen 2.5 Coder 14B 14.7B Good
    MMLU 74
    Q4_K_M
    Context 60K Speed ~80 tok/s
    Q8_0
    Context 23K Speed ~48 tok/s
  • Llama 3.2 Vision 11B 10.6B Good VisionTool use
    MMLU 73
    Q4_K_M
    Context 115K Speed ~115 tok/s
    Q8_0
    Context 78K Speed ~70 tok/s
  • DeepSeek R1 Distill Qwen 14B 14.7B Good Reasoning
    MMLU 72
    Q4_K_M
    Context 60K Speed ~80 tok/s
    Q8_0
    Context 23K Speed ~48 tok/s
  • Devstral Small 24B 23.6B Good Tool use
    MMLU 72
    Q4_K_M
    Context 37K Speed ~52 tok/s
    Q8_0 Doesn't fit · needs 25.2 GB
  • Phi-3 Mini 3.8B 3.82B Good
    MMLU 70.9
    Q4_K_M
    Context 48K Speed ~236 tok/s
    Q8_0
    Context 43K Speed ~158 tok/s
  • Phi-4 Mini 3.8B 3.84B Good
    MMLU 70
    Q4_K_M
    Context 128K Speed ~229 tok/s
    Q8_0
    Context 128K Speed ~157 tok/s
  • Gemma 4 E4B 4.5B Good VisionTool useReasoning
    MMLU 69.4
    Q4_K_M
    Context 128K Speed ~133 tok/s
    Q8_0
    Context 128K Speed ~94 tok/s
  • Llama 3.1 8B 8.03B Good Tool use
    MMLU 69.4
    Q4_K_M
    Context 123K Speed ~135 tok/s
    Q8_0
    Context 93K Speed ~84 tok/s
    fp16
    Context 32K Speed ~47 tok/s
  • Qwen 2.5 Coder 7B 7.62B Good
    MMLU 68
    Q4_K_M
    Context 128K Speed ~141 tok/s
    Q8_0
    Context 128K Speed ~88 tok/s
  • Mistral Nemo 12B 12.2B Good Tool use
    MMLU 68
    Q4_K_M
    Context 64K Speed ~93 tok/s
    Q8_0
    Context 36K Speed ~57 tok/s
  • Qwen 2.5 VL 3B 3.09B Fair Vision
    MMLU 65.6
    Q4_K_M
    Context 128K Speed ~273 tok/s
    Q8_0
    Context 128K Speed ~186 tok/s
  • Qwen 2.5 3B 3.09B Fair Tool use
    MMLU 65.6
    Q4_K_M
    Context 32K Speed ~273 tok/s
    Q8_0
    Context 32K Speed ~186 tok/s
  • Ministral 8B 8.02B Fair Tool use
    MMLU 65
    Q4_K_M
    Context 108K Speed ~132 tok/s
    Q8_0
    Context 83K Speed ~84 tok/s
  • SmallThinker 3B 3.09B Fair Reasoning
    MMLU 65
    Q4_K_M
    Context 32K Speed ~273 tok/s
    Q8_0
    Context 32K Speed ~186 tok/s
  • Llama 3.2 3B 3.21B Fair Tool use
    MMLU 63.4
    Q4_K_M
    Context 128K Speed ~265 tok/s
    Q8_0
    Context 128K Speed ~181 tok/s
    fp16
    Context 126K Speed ~108 tok/s
  • Gemma 3 4B 3.88B Fair Vision
    MMLU 63
    Q4_K_M
    Context 128K Speed ~229 tok/s
    Q8_0
    Context 128K Speed ~156 tok/s
  • Codestral 22B 22.2B Fair
    MMLU 62
    Q4_K_M
    Context 31K Speed ~56 tok/s
    Q8_0 Doesn't fit · needs 23.9 GB
  • Gemma 4 E2B 2.3B Fair VisionTool useReasoning
    MMLU 60
    Q4_K_M
    Context 128K Speed ~190 tok/s
    Q8_0
    Context 128K Speed ~142 tok/s
  • DeepSeek R1 Distill Qwen 7B 7.62B Fair Reasoning
    MMLU 58
    Q4_K_M
    Context 128K Speed ~141 tok/s
    Q8_0
    Context 128K Speed ~88 tok/s
  • Qwen3.5 2B 2B Fair VisionTool useReasoning
    MMLU 55.3
    Q4_K_M
    Context 256K Speed ~365 tok/s
    Q8_0
    Context 256K Speed ~279 tok/s
  • StarCoder2 15B 15.6B Basic
    MMLU 51.4
    Q4_K_M
    Context 16K Speed ~74 tok/s
    Q8_0
    Context 16K Speed ~44 tok/s
  • DeepSeek Coder 6.7B 6.74B Basic
    MMLU 50
    Q4_K_M
    Context 16K Speed ~157 tok/s
    Q8_0
    Context 16K Speed ~98 tok/s
  • Llama 3.2 1B 1.24B Basic Tool use
    MMLU 49.3
    Q4_K_M
    Context 128K Speed ~442 tok/s
    Q8_0
    Context 128K Speed ~345 tok/s
  • Qwen3.5 0.8B 0.8B Basic VisionTool useReasoning
    MMLU 29.7
    Q4_K_M
    Context 256K Speed ~533 tok/s
    Q8_0
    Context 256K Speed ~455 tok/s
  • Nemotron 3 Nano 4B 3.97B Basic ReasoningTool use
    MMLU
    Q4_K_M
    Context 256K Speed ~212 tok/s
    Q8_0
    Context 256K Speed ~162 tok/s
  • Ornith 1.5 9B 9.65B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~125 tok/s
    Q8_0
    Context 256K Speed ~79 tok/s
  • MiMo V2.6 Distill Qwen 9B 9.41B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 256K Speed ~124 tok/s
    Q8_0
    Context 256K Speed ~81 tok/s
  • Muse Glimmer 30B 29.78B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 128K Speed ~48 tok/s
    Q8_0 Doesn't fit · needs 27.6 GB
  • LFM2.5 2.6B 2.7B Basic Tool use
    MMLU
    Q4_K_M
    Context 128K Speed ~313 tok/s
    Q8_0
    Context 128K Speed ~217 tok/s
  • LFM2.5 24B A2B 23.97B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 128K Speed ~336 tok/s

    MoE — speed based on ~1.38 GB active experts (full 13.53 GB loaded in VRAM)

    Q8_0 Doesn't fit · needs 23.8 GB
  • K2-Horizon 7B 9B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 107K Speed ~129 tok/s
    Q8_0
    Context 80K Speed ~81 tok/s
  • Nemotron 3.5 Bolt E4B 8B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 64K Speed ~118 tok/s
    Q8_0
    Context 64K Speed ~94 tok/s
  • Laguna XS 2.1 33.44B Basic Tool useReasoning
    MMLU
    Q4_K_M
    Context 22K Speed ~294 tok/s

    MoE — speed based on ~1.72 GB active experts (full 19.14 GB loaded in VRAM)

    Q8_0 Doesn't fit · needs 33.2 GB

Tight fit 4

  • Qwen3 Coder 30B-A3B 30.5B Great Tool use
    MMLU 81
    Q4_K_M
    Context 15K Speed ~283 tok/s

    Only 15K context — under the 16K needed to be practical

    MoE — speed based on ~1.83 GB active experts (full 18.6 GB loaded in VRAM)

    Q8_0 Doesn't fit · needs 32.6 GB
    GPUs that can run this

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  • Gemma 2 27B 27.2B Great
    MMLU 75.2
    Q4_K_M
    Context 8K Speed ~45 tok/s

    Only 8K context — under the 16K needed to be practical

    Q8_0 Doesn't fit · needs 29.3 GB
  • Gemma 2 9B 9.24B Good
    MMLU 71.3
    Q4_K_M
    Context 8K Speed ~118 tok/s

    Only 8K context — under the 16K needed to be practical

    Q8_0
    Context 8K Speed ~74 tok/s

    Only 8K context — under the 16K needed to be practical

Tight fit 4

  • Qwen3 Coder 30B-A3B 30.5B Great Tool use
    MMLU 81
    Q4_K_M
    Context 15K Speed ~283 tok/s

    Only 15K context — under the 16K needed to be practical

    MoE — speed based on ~1.83 GB active experts (full 18.6 GB loaded in VRAM)

    Q8_0 Doesn't fit · needs 32.6 GB
    GPUs that can run this

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  • Gemma 2 27B 27.2B Great
    MMLU 75.2
    Q4_K_M
    Context 8K Speed ~45 tok/s

    Only 8K context — under the 16K needed to be practical

    Q8_0 Doesn't fit · needs 29.3 GB
  • Gemma 2 9B 9.24B Good
    MMLU 71.3
    Q4_K_M
    Context 8K Speed ~118 tok/s

    Only 8K context — under the 16K needed to be practical

    Q8_0
    Context 8K Speed ~74 tok/s

    Only 8K context — under the 16K needed to be practical

  • MiniCPM-V 4.7 35B A3B 35.21B Basic VisionTool useReasoning
    MMLU
    Q4_K_M
    Context 15K Speed ~299 tok/s

    Only 15K context — under the 16K needed to be practical

    MoE — speed based on ~1.68 GB active experts (full 19.71 GB loaded in VRAM)

    Q8_0 Doesn't fit · needs 34.4 GB
    GPUs that can run this

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Doesn't fit 43

  • DeepSeek R1 0528 671B Excellent Reasoning
    MMLU 90.8
    Q4_K_M Needs 409.3 GB — 389.3 GB over
    Q8_0 Needs 713.4 GB — 693.4 GB over
  • Qwen3 Next 80B-A3B 80B Excellent Tool use
    MMLU 90
    Q4_K_M Needs 48.4 GB — 28.4 GB over
    Q8_0 Needs 84.8 GB — 64.8 GB over
    GPUs that can run this

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  • MiMo V2.5 Pro 1020B Excellent Reasoning
    MMLU 89.4
    Q4_K_M Needs 630.1 GB — 610.1 GB over
    Q8_0 Needs 1090.1 GB — 1070.1 GB over

Doesn't fit 43

  • DeepSeek R1 0528 671B Excellent Reasoning
    MMLU 90.8
    Q4_K_M Needs 409.3 GB — 389.3 GB over
    Q8_0 Needs 713.4 GB — 693.4 GB over
  • Qwen3 Next 80B-A3B 80B Excellent Tool use
    MMLU 90
    Q4_K_M Needs 48.4 GB — 28.4 GB over
    Q8_0 Needs 84.8 GB — 64.8 GB over
    GPUs that can run this

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  • MiMo V2.5 Pro 1020B Excellent Reasoning
    MMLU 89.4
    Q4_K_M Needs 630.1 GB — 610.1 GB over
    Q8_0 Needs 1090.1 GB — 1070.1 GB over
  • Mistral Small 4 119B Excellent VisionTool use
    MMLU 88.5
    Q4_K_M Needs 73.2 GB — 53.2 GB over
    Q8_0 Needs 127.0 GB — 107.0 GB over
    GPUs that can run this

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  • MiniMax M2.1 229B Excellent ReasoningTool use
    MMLU 88
    Q4_K_M Needs 138.1 GB — 118.1 GB over
    Q8_0 Needs 243.1 GB — 223.1 GB over
  • DeepSeek V4 Pro 1600B Excellent Tool useReasoning
    MMLU 87.5
    Q4_K_M Needs 900.1 GB — 880.1 GB over
    Q8_0 Needs 1670.1 GB — 1650.1 GB over
  • Qwen3.5 397B A17B 397B Excellent VisionTool useReasoning
    MMLU 87
    Q4_K_M Needs 227.4 GB — 207.4 GB over
    Q8_0 Needs 392.6 GB — 372.6 GB over
  • GLM-4.6 357B Excellent ReasoningTool use
    MMLU 87
    Q4_K_M Needs 216.1 GB — 196.1 GB over
    Q8_0 Needs 379.1 GB — 359.1 GB over
  • GLM 5.1 754B Excellent Tool use
    MMLU 86.9
    Q4_K_M Needs 459.8 GB — 439.8 GB over
    Q8_0 Needs 801.4 GB — 781.4 GB over
  • DeepSeek V4 Flash 284B Excellent Tool useReasoning
    MMLU 86.4
    Q4_K_M Needs 161.1 GB — 141.1 GB over
    Q8_0 Needs 282.1 GB — 262.1 GB over
  • Qwen 2.5 VL 72B 72.7B Excellent VisionTool use
    MMLU 86.1
    Q4_K_M Needs 47.7 GB — 27.7 GB over
    Q8_0 Needs 77.6 GB — 57.6 GB over
    GPUs that can run this

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  • Qwen 2.5 72B 72.7B Excellent Tool use
    MMLU 86.1
    Q4_K_M Needs 47.7 GB — 27.7 GB over
    Q8_0 Needs 77.6 GB — 57.6 GB over
    GPUs that can run this

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  • Llama 3.3 70B 70.6B Excellent Tool use
    MMLU 86
    Q4_K_M Needs 42.8 GB — 22.8 GB over
    Q8_0 Needs 75.3 GB — 55.3 GB over
    GPUs that can run this

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  • Llama 4 Maverick 400B Excellent VisionTool use
    MMLU 85.5
    Q4_K_M Needs 243.2 GB — 223.2 GB over
    Q8_0 Needs 426.2 GB — 406.2 GB over
  • Qwen3.5 35B A3B 35B Excellent VisionTool useReasoning
    MMLU 85.3
    Q4_K_M Needs 20.5 GB — 0.5 GB over
    Q8_0 Needs 34.4 GB — 14.4 GB over
    GPUs that can run this

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  • Qwen3.6 35B A3B 35B Excellent VisionTool useReasoning
    MMLU 85.2
    Q4_K_M Needs 22.4 GB — 2.4 GB over
    Q8_0 Needs 37.0 GB — 17.0 GB over
    GPUs that can run this

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  • Qwen3.5 122B A10B 122B Excellent VisionTool useReasoning
    MMLU 85
    Q4_K_M Needs 71.3 GB — 51.3 GB over
    Q8_0 Needs 121.0 GB — 101.0 GB over
    GPUs that can run this

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  • Qwen3 32B 32.8B Excellent ReasoningTool use
    MMLU 85
    Q4_K_M Needs 20.0 GB — 0.0 GB over
    Q8_0 Needs 35.0 GB — 15.0 GB over
    GPUs that can run this

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  • Step 3.5 Flash 197B Excellent ReasoningTool use
    MMLU 84
    Q4_K_M Needs 119.2 GB — 99.2 GB over
    Q8_0 Needs 209.2 GB — 189.2 GB over
    GPUs that can run this

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  • DeepSeek R1 Distill Llama 70B 70.6B Excellent Reasoning
    MMLU 84
    Q4_K_M Needs 42.8 GB — 22.8 GB over
    Q8_0 Needs 75.3 GB — 55.3 GB over
    GPUs that can run this

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  • Qwen 2.5 32B 32.5B Excellent Tool use
    MMLU 83.3
    Q4_K_M Needs 20.1 GB — 0.1 GB over
    Q8_0 Needs 35.1 GB — 15.1 GB over
    GPUs that can run this

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  • GLM 5 753.86B Excellent Tool use
    MMLU 83
    Q4_K_M Needs 424.7 GB — 404.7 GB over
    Q8_0 Needs 746.4 GB — 726.4 GB over
  • QwQ 32B 32.5B Excellent ReasoningTool use
    MMLU 83
    Q4_K_M Needs 20.1 GB — 0.1 GB over
    Q8_0 Needs 35.1 GB — 15.1 GB over
    GPUs that can run this

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  • MiniMax M2.5 228.7B Great ReasoningTool use
    MMLU 82
    Q4_K_M Needs 129.1 GB — 109.1 GB over
    Q8_0 Needs 226.7 GB — 206.7 GB over
  • Nemotron 3.5 Lightning 30B A3B 31.58B Great Tool useReasoning
    MMLU 81.94
    Q4_K_M Needs 23.7 GB — 3.7 GB over
    Q8_0 Needs 32.6 GB — 12.6 GB over
    GPUs that can run this

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  • DeepSeek R1 Distill Qwen 32B 32.5B Great Reasoning
    MMLU 80
    Q4_K_M Needs 20.1 GB — 0.1 GB over
    Q8_0 Needs 35.1 GB — 15.1 GB over
    GPUs that can run this

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  • Nemotron Cascade 2 30B A3B 30B Great ReasoningTool use
    MMLU 79.8
    Q4_K_M Needs 23.0 GB — 3.0 GB over
    Q8_0 Needs 31.3 GB — 11.3 GB over
    GPUs that can run this

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  • Llama 4 Scout 109B Great VisionTool use
    MMLU 79.6
    Q4_K_M Needs 65.6 GB — 45.6 GB over
    Q8_0 Needs 115.2 GB — 95.2 GB over
    GPUs that can run this

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  • Qwen 2.5 Coder 32B 32.5B Great
    MMLU 79
    Q4_K_M Needs 20.1 GB — 0.1 GB over
    Q8_0 Needs 35.1 GB — 15.1 GB over
    GPUs that can run this

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  • Qwen3.8 Flash Next 180B Good VisionTool useReasoning
    MMLU 73.23
    Q4_K_M Needs 111.4 GB — 91.4 GB over
    Q8_0 Needs 175.4 GB — 155.4 GB over
    GPUs that can run this

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  • Mistral Large 3 675B 673.42B Good VisionTool useReasoning
    MMLU 73.11
    Q4_K_M Needs 379.1 GB — 359.1 GB over
    Q8_0 Needs 666.6 GB — 646.6 GB over
  • Muse Spark Open 816B A42B 822.04B Basic VisionTool useReasoning
    MMLU
    Q4_K_M Needs 465.3 GB — 445.3 GB over
    Q8_0 Needs 811.9 GB — 791.9 GB over
  • GLM 5.3 753.33B Basic Tool useReasoning
    MMLU
    Q8_0 Needs 746.4 GB — 726.4 GB over
  • Beam 1.0 501B A23B 501.27B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 293.0 GB — 273.0 GB over
    Q8_0 Needs 496.2 GB — 476.2 GB over
  • Ornith 1.5 397B 403.4B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 227.6 GB — 207.6 GB over
    Q8_0 Needs 399.1 GB — 379.1 GB over
  • MiMo V2.5 310B Basic Reasoning
    MMLU
    Q4_K_M Needs 188.9 GB — 168.9 GB over
    Q8_0 Needs 329.4 GB — 309.4 GB over
  • GLM 5.3 Flash 321.32B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 176.0 GB — 156.0 GB over
    Q8_0 Needs 310.4 GB — 290.4 GB over
  • Step 3.7 Flash 198B Basic VisionTool useReasoning
    MMLU
    Q4_K_S Needs 104.0 GB — 84.0 GB over
    Q8_0 Needs 195.2 GB — 175.2 GB over
    GPUs that can run this

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  • Ornith 1.5 122B 125.09B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 70.7 GB — 50.7 GB over
    Q8_0 Needs 123.5 GB — 103.5 GB over
    GPUs that can run this

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  • Nemotron 3.5 Super VL 120B A12B 124.45B Basic VisionTool useReasoning
    MMLU
    Q4_K_M Needs 65.3 GB — 45.3 GB over
    Q8_0 Needs 119.7 GB — 99.7 GB over
    GPUs that can run this

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  • Nemotron 3.5 Bolt 74B A9B 74.89B Basic VisionTool useReasoning
    MMLU
    Q8_0 Needs 73.4 GB — 53.4 GB over
    GPUs that can run this

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  • Flint 40B A2.5B 39.79B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 23.6 GB — 3.6 GB over
    Q8_0 Needs 39.5 GB — 19.5 GB over
    GPUs that can run this

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  • Ornith 1.5 35B A3B 35.95B Basic Tool useReasoning
    MMLU
    Q4_K_M Needs 20.2 GB — 0.2 GB over
    Q8_0 Needs 35.2 GB — 15.2 GB over
    GPUs that can run this

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