LocalFit

NVIDIA RTX PRO 5000 72GB Blackwell: which models fit?

NVIDIA · GPU

NVIDIA RTX PRO 5000 72GB Blackwell

Memory72 GB GDDR7Bandwidth1,344 GB/s vendor specPlanned for models72.0 GiB all VRAM usableFilesGGUF llama.cpp format

Editorial pick · 64 GB GPUsQwen3.8-27B Q8_0 All picks

Context

Budget = file + KV cache + 1 GiB runtime + 0.5 GiB spare. Macs: 75% of memory. Details

39 models fit RTX PRO 5000 72GB Blackwell · 8K context

Ranked by Artificial Analysis Intelligence Index, unranked models last. Arena is shown separately. How ranking works

Intelligence

Artificial Analysis Intelligence Index · top 10 models that fit RTX PRO 5000 72GB Blackwell · higher is better

  1. Qwen3.8-27B33.7
  2. G9v3-39A5B (preview)21.8
  3. K2-Horizon-7B20.6
  4. Qwen3.6-35B-A3B18.2
  5. Muse Glimmer 30B17.5
  6. K2-Horizon-3.7B15.6
  7. Qwen3.5-9B13.3
  8. EXAONE 4.5 33B13.2
  9. Qwen3.5-4B13.1
  10. NVIDIA Nemotron 3.5 Lightning 30B-A3B12.9

AA estimate

Generation speed

Tokens per second on RTX PRO 5000 72GB Blackwell, best file for each of the same models · higher is better

  1. Qwen3.6-35B-A3B~205
  2. Qwen3.5-4B~202
  3. NVIDIA Nemotron 3.5 Lightning 30B-A3B~186
  4. K2-Horizon-3.7B~168
  5. G9v3-39A5B (preview)~122
  6. Qwen3.5-9B~95
  7. K2-Horizon-7B~94.5
  8. Qwen3.8-27B~31.1
  9. Muse Glimmer 30B~30.6
  10. EXAONE 4.5 33B~25.8

MeasuredEstimated (~)

WeightsKV cacheRuntimeFreeMeasuredlinks to its sourceEstimatedshown with ~Unknownnever zero
  1. 1

    Qwen3.8-27B

    Qwen/Qwen3.8-27B

    2026-08-1427B dense

    AA index33.7rank #13
    Arena1,441
    Best file & memory
    Q8_027.1 GiB fileFits · conditional
    28.6 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~31.1 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file27.12 GiBbartowski/Qwen3.8-27B-GGUF HF files
    KV cache · 8K0.50 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted28.62 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 16.2 GiB · fits · files
    • Q5_K_M 19.5 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 27.1 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 33.7 Qwen3.8 27B (Xhigh) · Arena 1,441 · Model page

  2. 2

    G9v3-39A5B (preview)

    ai9stars/G9v3-39A5B

    2026-08 (day unknown)39B · 5B active

    AA index21.8 AA estimaterank #29
    Arena—
    Best file & memory
    Q8_038.6 GiB fileFits
    39.9 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~122 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file38.63 GiBlinuxid10t/G9v3-39A5B-GGUF HF files
    KV cache · 8K0.30 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted39.93 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 21.9 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 5.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 21.8 AA estimate G9v3-39A5B · Arena unknown · Model page

  3. 3

    K2-Horizon-7B

    IFM/K2-Horizon-7B

    2026-09-03size unknown

    AA index20.6rank #33
    Arena—
    Best file & memory
    Q8_08.9 GiB fileFits
    11.0 of 72.0 GiB8K ctx · max ≈438K
    Prompt—Unknown
    Generate~94.5 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file8.92 GiBIFM/K2-Horizon-7B-GGUF HF files
    KV cache · 8K1.13 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted11.04 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈438K tokens (native 512K).

    Other GGUF files

    • Q4_K_M 5.2 GiB · fits · files
    • Q5_K_M 6.0 GiB · fits · files
    • FP16 16.8 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 8.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 20.6 K2 Horizon 7B · Arena unknown · Model page

  4. 4

    Qwen3.6-35B-A3B

    Qwen/Qwen3.6-35B-A3B

    2026-04-1635B · 3B active

    AA index18.2rank #36
    Arena—
    Best file & memory
    Q8_034.4 GiB fileFits · conditional
    35.5 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~205 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file34.37 GiBunsloth/Qwen3.6-35B-A3B-GGUF HF files
    KV cache · 8K0.16 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted35.52 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 19.0 GiB · fits · files
    • Q5_K_M 23.0 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 2.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 18.2 Qwen3.6 35B A3B (Reasoning) · Arena unknown · Model page

  5. 5

    Muse Glimmer 30B

    meta-models/Muse-Glimmer-30B

    2026-08-1030B dense

    AA index17.5rank #38
    Arena1,389
    Best file & memory
    Q8_027.6 GiB fileFits
    28.8 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~30.6 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file27.58 GiBbartowski/Muse-Glimmer-30B-GGUF HF files
    KV cache · 8K0.18 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted28.76 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 15.6 GiB · fits · files
    • Q5_K_M 18.7 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 27.6 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 17.5 Muse Glimmer (High) · Arena 1,389 · Model page

  6. 6

    K2-Horizon-3.7B

    IFM/K2-Horizon-3.7B

    2026-09-03size unknown

    AA index15.6rank #41
    Arena—
    Best file & memory
    Q8_05.0 GiB fileFits
    7.1 of 72.0 GiB8K ctx · max ≈466K
    Prompt—Unknown
    Generate~168 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file5.02 GiBIFM/K2-Horizon-3.7B-GGUF HF files
    KV cache · 8K1.13 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted7.14 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈466K tokens (native 512K).

    Other GGUF files

    • Q4_K_M 2.9 GiB · fits · files
    • Q5_K_M 3.4 GiB · fits · files
    • FP16 9.4 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 5.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 15.6 K2 Horizon 3.7B · Arena unknown · Model page

  7. 7

    Qwen3.5-9B

    Qwen/Qwen3.5-9B

    2026-03-029B dense

    AA index13.3 AA estimaterank #45
    Arena—
    Best file & memory
    Q8_08.9 GiB fileFits · conditional
    10.1 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~95 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file8.87 GiBunsloth/Qwen3.5-9B-GGUF HF files
    KV cache · 8K0.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted10.12 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 5.3 GiB · fits · files
    • Q5_K_M 6.1 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 8.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 13.3 AA estimate Qwen3.5 9B (Non-reasoning) · Arena unknown · Model page

  8. 8

    EXAONE 4.5 33B

    LGAI-EXAONE/EXAONE-4.5-33B

    2026-04-0933B dense

    AA index13.2 AA estimaterank #46
    Arena—
    Best file & memory
    Q8_032.7 GiB fileFits
    35.0 of 72.0 GiB8K ctx · max ≈256K
    Prompt—Unknown
    Generate~25.8 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file32.73 GiBLGAI-EXAONE/EXAONE-4.5-33B-GGUF HF files
    KV cache · 8K1.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted34.98 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 18.7 GiB · fits · files
    • Q5_K_M 21.9 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 32.7 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 13.2 AA estimate EXAONE 4.5 33B (Reasoning) · Arena unknown · Model page

  9. 9

    Qwen3.5-4B

    Qwen/Qwen3.5-4B

    2026-03-024B dense

    AA index13.1 AA estimaterank #48
    Arena—
    Best file & memory
    Q8_04.2 GiB fileFits · conditional
    5.4 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~202 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file4.17 GiBunsloth/Qwen3.5-4B-GGUF HF files
    KV cache · 8K0.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted5.42 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 2.6 GiB · fits · files
    • Q5_K_M 2.9 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 4.2 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 13.1 AA estimate Qwen3.5 4B (Reasoning) · Arena unknown · Model page

  10. 10

    NVIDIA Nemotron 3.5 Lightning 30B-A3B

    nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

    2026-08-1130B · 3B active

    AA index12.9rank #49
    Arena1,329
    Best file & memory
    Q8_032.6 GiB fileFits · conditional
    33.6 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~186 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file32.60 GiBbartowski/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF HF files
    KV cache · 8K0.05 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted33.65 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 23.7 GiB · fits · files
    • Q5_K_M 25.1 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 3.3 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 12.9 Nemotron 3.5 Lightning · Arena 1,329 · Model page

  11. 11

    IBM Granite 4.2 30B

    ibm-granite/granite-4.2-30b

    2026-08-2530B dense

    AA index12.7rank #50
    Arena1,361
    Best file & memory
    Q8_029.0 GiB fileFits
    32.0 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~29.1 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file28.98 GiBibm-granite/granite-4.2-30b-GGUF HF files
    KV cache · 8K2.00 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted31.98 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 16.5 GiB · fits · files
    • Q5_K_M 19.3 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 29.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 12.7 Granite 4.2 30B · Arena 1,361 · Model page

  12. 12

    MiniCPM5-2B

    openbmb/MiniCPM5-2B

    2026-09-072.5B dense

    AA index12.5rank #51
    Arena—
    Best file & memory
    Q8_02.5 GiB fileFits
    3.8 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~338 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file2.50 GiBopenbmb/MiniCPM5-2B-GGUF HF files
    KV cache · 8K0.33 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted3.82 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 1.5 GiB · fits · files
    • Q5_K_M 1.8 GiB · fits · files
    • FP16 4.7 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 2.5 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 12.5 MiniCPM5-2B · Arena unknown · Model page

  13. 13

    HyperNova 60B 2605 (compressed gpt-oss-120b)

    MultiverseComputingCAI/Hypernova-60B-2605

    2026-05-0660B · 4.8B active

    AA index11.7 AA estimaterank #52
    Arena—
    Best file & memory
    Q8_058.1 GiB fileFits · conditional
    59.4 of 72.0 GiB+8K ctx · max ≈128K
    Prompt—Unknown
    Generate~130 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file58.13 GiBmradermacher/Hypernova-60B-2605-GGUF HF files
    KV cache · 8K0.25 GiBBF16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted59.39 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 37.9 GiB · fits · files
    • Q5_K_M 41.3 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 4.7 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 11.7 AA estimate HyperNova 60B 2605 (High, Based on gpt-oss-120b) · Arena unknown · Model page

  14. 14

    Nemotron Cascade 2 30B A3B

    nvidia/Nemotron-Cascade-2-30B-A3B

    2026-03-1930B · 3B active

    AA index11.7 AA estimaterank #53
    Arena—
    Best file & memory
    Q8_031.3 GiB fileFits · conditional
    32.3 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~193 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file31.28 GiBmradermacher/Nemotron-Cascade-2-30B-A3B-GGUF HF files
    KV cache · 8K0.05 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted32.33 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 22.8 GiB · fits · files
    • Q5_K_M 24.3 GiB · fits · files
    • FP16 58.8 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 3.1 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 11.7 AA estimate Nemotron Cascade 2 30B A3B · Arena unknown · Model page

  15. 15

    Granite 4.2 8B

    ibm-granite/granite-4.2-8b

    2026-08-258B dense

    AA index11.1rank #56
    Arena1,320
    Best file & memory
    Q8_08.7 GiB fileFits
    11.0 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~96.9 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file8.70 GiBibm-granite/granite-4.2-8b-GGUF HF files
    KV cache · 8K1.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted10.95 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 5.0 GiB · fits · files
    • Q5_K_M 5.8 GiB · fits · files
    • FP16 16.4 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 8.7 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 11.1 Granite 4.2 8B · Arena 1,320 · Model page

  16. 16

    G9v3-3B

    AI9Stars/G9v3-3B

    2026-07 (day unknown)3B dense

    AA index10.8 AA estimaterank #58
    Arena—
    Best file & memory
    Q8_03.0 GiB fileFits
    4.4 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~285 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file2.96 GiBmradermacher/G9v3-3B-GGUF HF files
    KV cache · 8K0.41 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted4.37 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 1.7 GiB · fits · files
    • Q5_K_M 2.0 GiB · fits · files
    • FP16 5.6 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 3.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 10.8 AA estimate G9v3-3B · Arena unknown · Model page

  17. 17

    North Mini Code

    CohereLabs/North-Mini-Code-1.0

    2026-06-0930B · 3B active

    AA index9.9rank #61
    Arena—
    Best file & memory
    Q8_030.2 GiB fileFits
    31.7 of 72.0 GiB8K ctx · max ≈250K
    Prompt—Unknown
    Generate~200 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file30.21 GiBbartowski/North-Mini-Code-1.0-GGUF HF files
    KV cache · 8K0.48 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted31.69 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈250K tokens (native 250K).

    Other GGUF files

    • Q4_K_M 17.5 GiB · fits · files
    • Q5_K_M 20.3 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 3.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 9.9 North Mini Code · Arena unknown · Model page

  18. 18

    Qwen3-Coder-Next

    Qwen/Qwen3-Coder-Next

    2026-02-0280B · 3B active

    AA index9.2rank #63
    Arena—
    Best file & memory
    Q5_K_M52.9 GiB fileFits · conditional
    54.1 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~305 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file52.94 GiBunsloth/Qwen3-Coder-Next-GGUF · 3 files HF files
    KV cache · 8K0.19 GiBBF16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted54.13 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 45.2 GiB · fits · files
    • Q8_0 79.0 GiB · too big · files
    • BF16 149 GiB · too big · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 2.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 9.2 Qwen3 Coder Next · Arena unknown · Model page

  19. 19

    Granite 4.2 3B

    ibm-granite/granite-4.2-3b

    2026-08-253B dense

    AA index9.1rank #64
    Arena1,293
    Best file & memory
    Q8_03.6 GiB fileFits
    5.3 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~233 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file3.63 GiBibm-granite/granite-4.2-3b-GGUF HF files
    KV cache · 8K0.63 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted5.25 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 2.1 GiB · fits · files
    • Q5_K_M 2.4 GiB · fits · files
    • FP16 6.8 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 3.6 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 9.1 Granite 4.2 3B · Arena 1,293 · Model page

  20. 20

    Tri-21B-Think

    trillionlabs/Tri-21B-Think

    2026-02 (day unknown)21B dense

    AA index9.0 AA estimaterank #65
    Arena—
    Best file & memory
    Q8_020.5 GiB fileFits
    23.1 of 72.0 GiB8K ctx · max ≈32K
    Prompt—Unknown
    Generate~41.1 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file20.52 GiBmykor/Tri-21B-Think-GGUF HF files
    KV cache · 8K1.56 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted23.08 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈32K tokens (native 32K).

    Other GGUF files

    • Q4_K_M 11.7 GiB · fits · files
    • Q5_K_M 13.7 GiB · fits · files
    • FP16 38.6 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 20.5 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 9.0 AA estimate Tri-21B-Think · Arena unknown · Model page

  21. 21

    MiniCPM5-1B

    openbmb/MiniCPM5-1B

    2026-05-191.1B dense

    AA index8.8 AA estimaterank #67
    Arena—
    Best file & memory
    Q8_01.1 GiB fileFits
    2.3 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~785 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file1.07 GiBopenbmb/MiniCPM5-1B-GGUF HF files
    KV cache · 8K0.19 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted2.26 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 0.6 GiB · fits · files
    • Q5_K_M 0.7 GiB · fits · files
    • FP16 2.0 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 1.1 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 8.8 AA estimate MiniCPM5-1B (Reasoning) · Arena unknown · Model page

  22. 22

    Nanbeige4.1-3B

    Nanbeige/Nanbeige4.1-3B

    2026-02 (day unknown)3B dense

    AA index8.4 AA estimaterank #69
    Arena—
    Best file & memory
    Q8_03.9 GiB fileFits
    5.4 of 72.0 GiB8K ctx · max ≈256K
    Prompt—Unknown
    Generate~216 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file3.90 GiBmradermacher/Nanbeige4.1-3B-GGUF HF files
    KV cache · 8K0.50 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted5.40 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 2.3 GiB · fits · files
    • Q5_K_M 2.6 GiB · fits · files
    • FP16 7.3 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 3.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 8.4 AA estimate Nanbeige4.1-3B · Arena unknown · Model page

  23. 23

    LFM2.5-2.6B

    LiquidAI/LFM2.5-2.6B

    2026-08-042.7B dense

    AA index8.4 AA estimaterank #70
    Arena—
    Best file & memory
    Q8_02.7 GiB fileFits · conditional
    3.8 of 72.0 GiB+8K ctx · max ≈128K
    Prompt—Unknown
    Generate~315 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file2.68 GiBLiquidAI/LFM2.5-2.6B-GGUF HF files
    KV cache · 8K0.13 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted3.80 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 1.6 GiB · fits · files
    • Q5_K_M 1.8 GiB · fits · files
    • FP16 5.0 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 2.7 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 8.4 AA estimate LFM2.5-2.6B · Arena unknown · Model page

  24. 24

    Falcon-H1R-7B

    tiiuae/Falcon-H1R-7B

    2026-01-057B dense

    AA index7.8 AA estimaterank #71
    Arena—
    Best file & memory
    Q8_07.5 GiB fileFits · conditional
    8.9 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~112 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file7.51 GiBtiiuae/Falcon-H1R-7B-GGUF HF files
    KV cache · 8K0.34 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted8.86 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 4.3 GiB · fits · files
    • Q5_K_M 5.0 GiB · fits · files
    • FP16 14.1 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 7.5 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 7.8 AA estimate Falcon-H1R-7B · Arena unknown · Model page

  25. 25

    Step3 VL 10B

    stepfun-ai/Step3-VL-10B

    2026-01 (day unknown)10B dense

    AA index7.7 AA estimaterank #73
    Arena—
    Best file & memory
    Q8_08.1 GiB fileFits
    10.2 of 72.0 GiB8K ctx · max ≈64K
    Prompt—Unknown
    Generate~104 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file8.11 GiBJamePeng2023/Step3-VL-10B-GGUF HF files
    KV cache · 8K1.13 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted10.24 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈64K tokens (native 64K).

    Other GGUF files

    • Q4_K_M 4.7 GiB · fits · files
    • Q5_K_M 5.4 GiB · fits · files
    • FP16 15.3 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 8.1 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 7.7 AA estimate Step3 VL 10B · Arena unknown · Model page

  26. 26

    LFM2.5-8B-A1B

    LiquidAI/LFM2.5-8B-A1B

    2026-05-288.3B · 1.5B active

    AA index7.2 AA estimaterank #74
    Arena—
    Best file & memory
    Q8_08.4 GiB fileFits · conditional
    9.5 of 72.0 GiB+8K ctx · max ≈125K
    Prompt—Unknown
    Generate~399 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file8.39 GiBLiquidAI/LFM2.5-8B-A1B-GGUF HF files
    KV cache · 8K0.09 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted9.49 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈125K tokens (native 125K).

    Other GGUF files

    • Q4_K_M 4.8 GiB · fits · files
    • Q5_K_M 5.6 GiB · fits · files
    • FP16 15.8 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 1.5 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 7.2 AA estimate LFM2.5-8B-A1B · Arena unknown · Model page

  27. 27

    NVIDIA Nemotron 3 Nano 4B

    nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16

    2026-03-164B dense

    AA index4.8rank #75
    Arena—
    Best file & memory
    Q8_03.9 GiB fileFits · conditional
    5.1 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~214 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file3.94 GiBunsloth/NVIDIA-Nemotron-3-Nano-4B-GGUF HF files
    KV cache · 8K0.13 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted5.07 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 2.6 GiB · fits · files
    • Q5_K_M 2.9 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 3.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 4.8 NVIDIA Nemotron 3 Nano 4B · Arena unknown · Model page

  28. 28

    LFM2.5-24B-A2B

    LiquidAI/LFM2.5-24B-A2B

    2026-10-1324B · 2B active

    AA index—unranked
    Arena—
    Best file & memory
    Q8_023.7 GiB fileFits · conditional
    24.9 of 72.0 GiB+8K ctx · max ≈128K
    Prompt—Unknown
    Generate~306 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file23.74 GiBLiquidAI/LFM2.5-24B-A2B-GGUF HF files
    KV cache · 8K0.16 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted24.90 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 13.5 GiB · fits · files
    • Q5_K_M 15.9 GiB · fits · files
    • FP16 44.7 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 2.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  29. 29

    MiniCPM-V 4.7 35B-A3B

    openbmb/MiniCPM-V-4.7-35B-A3B

    2026-10-1235B · 3B active

    AA index—unranked
    Arena—
    Best file & memory
    Q8_034.4 GiB fileFits · conditional
    35.5 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~205 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file34.37 GiBopenbmb/MiniCPM-V-4.7-35B-A3B-gguf HF files
    KV cache · 8K0.16 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted35.52 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 19.7 GiB · fits · files
    • Q5_K_M 23.0 GiB · fits · files
    • FP16 64.6 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 2.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  30. 30

    Mellum2.1-12B-A2.5B-Thinking

    JetBrains/Mellum2.1-12B-A2.5B-Thinking

    2026-10-0812B · 2.5B active

    AA index—unranked
    Arena—
    Best file & memory
    Q8_012.0 GiB fileFits
    13.2 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~241 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file12.04 GiBJetBrains/Mellum2.1-12B-A2.5B-Thinking-GGUF HF files
    KV cache · 8K0.15 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted13.19 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 7.5 GiB · fits · files
    • Q5_K_M 9.3 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 2.5 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  31. 31

    Aleph Alpha Kolibri-1

    Aleph-Alpha/Kolibri-1

    2026-10-0378B · 3.5B active

    AA index—unranked
    Arena—
    Best file & memory
    Q5_K_M51.8 GiB fileFits · conditional
    53.0 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~263 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file51.77 GiBHob-forge/Kolibri-1-GGUF · 2 files HF files
    KV cache · 8K0.20 GiBBF16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted52.97 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 44.2 GiB · fits · files
    • Q8_0 77.4 GiB · too big · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 2.3 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  32. 32

    MiMo-V2.6-Distill-Qwen-9B

    XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B

    2026-09-229B dense

    AA index—unranked
    Arena—
    Best file & memory
    Q8_08.9 GiB fileFits · conditional
    10.1 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~94.8 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file8.89 GiBbartowski/MiMo-V2.6-Distill-Qwen-9B-GGUF HF files
    KV cache · 8K0.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted10.14 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 5.4 GiB · fits · files
    • Q5_K_M 6.4 GiB · fits · files
    • FP16 16.7 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 8.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  33. 33

    K2-Horizon-0.9B

    IFM/K2-Horizon-0.9B

    2026-09-03size unknown

    AA index—unranked
    Arena—
    Best file & memory
    Q8_01.1 GiB fileFits
    2.5 of 72.0 GiB8K ctx · max ≈128K
    Prompt—Unknown
    Generate~788 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file1.07 GiBIFM/K2-Horizon-0.9B-GGUF HF files
    KV cache · 8K0.44 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Accounted2.51 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈128K tokens (native 128K).

    Other GGUF files

    • Q4_K_M 0.6 GiB · fits · files
    • Q5_K_M 0.7 GiB · fits · files
    • FP16 2.0 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 1.1 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  34. 34

    Ornith-1.5-9B

    ornith-ai/Ornith-1.5-9B

    2026-08 (day unknown)9B dense

    AA index—unranked
    Arena—
    Best file & memory
    Q8_09.1 GiB fileFits · conditional
    10.4 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~92.5 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file9.11 GiBornith-ai/Ornith-1.5-9B-GGUF HF files
    KV cache · 8K0.25 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted10.36 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 5.4 GiB · fits · files
    • Q5_K_M 6.2 GiB · fits · files
    • FP16 16.7 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 9.1 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  35. 35

    Qwen3.6-27B

    Qwen/Qwen3.6-27B

    2026-04-2227B dense

    AA index—unranked
    Arena—
    Best file & memory
    Q8_026.6 GiB fileFits · conditional
    28.1 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~31.7 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file26.63 GiBunsloth/Qwen3.6-27B-GGUF HF files
    KV cache · 8K0.50 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted28.13 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 15.7 GiB · fits · files
    • Q5_K_M 18.2 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 26.6 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  36. 36

    Qwen3.5-0.8B

    Qwen/Qwen3.5-0.8B

    2026-03-020.8B dense

    AA index—unranked
    Arena—
    Best file & memory
    Q8_00.8 GiB fileFits · conditional
    1.8 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~1,115 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file0.76 GiBunsloth/Qwen3.5-0.8B-GGUF HF files
    KV cache · 8K0.09 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted1.85 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 0.5 GiB · fits · files
    • Q5_K_M 0.5 GiB · fits · files
    • FP16 1.4 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 0.8 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  37. 37

    Qwen3.5-2B

    Qwen/Qwen3.5-2B

    2026-03-022B dense

    AA index—unranked
    Arena—
    Best file & memory
    Q8_01.9 GiB fileFits · conditional
    3.0 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~450 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file1.87 GiBunsloth/Qwen3.5-2B-GGUF HF files
    KV cache · 8K0.09 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted2.97 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 1.2 GiB · fits · files
    • Q5_K_M 1.3 GiB · fits · files
    • FP16 3.5 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 1.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  38. 38

    Qwen3.5-27B

    Qwen/Qwen3.5-27B

    2026-02-2427B dense

    AA index—unranked
    Arena—
    Best file & memory
    Q8_026.6 GiB fileFits · conditional
    28.1 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~31.7 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file26.63 GiBunsloth/Qwen3.5-27B-GGUF HF files
    KV cache · 8K0.50 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted28.13 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 15.6 GiB · fits · files
    • Q5_K_M 18.3 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 26.6 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

  39. 39

    Qwen3.5-35B-A3B

    Qwen/Qwen3.5-35B-A3B

    2026-02-2435B · 3B active

    AA index—unranked
    Arena—
    Best file & memory
    Q8_034.4 GiB fileFits · conditional
    35.5 of 72.0 GiB+8K ctx · max ≈256K
    Prompt—Unknown
    Generate~205 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file34.37 GiBunsloth/Qwen3.5-35B-A3B-GGUF HF files
    KV cache · 8K0.16 GiBFP16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted35.52 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈256K tokens (native 256K).

    Other GGUF files

    • Q4_K_M 20.5 GiB · fits · files
    • Q5_K_M 24.4 GiB · fits · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 2.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

May fit: KV-cache size unknown 13

Weights and runtime fit, but the cache for this attention type is not established. Ranked by AA index.

  1. K2-Horizon-MoVA-36B-A4B

    IFM/K2-Horizon-MoVA-36B-A4B

    2026-09-0336B · 4B active

    AA index25.3rank #22
    Arena—
    Best file & memory
    Q8_037.1 GiB fileCache unknown
    38.1 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~147 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file37.10 GiBIFM/K2-Horizon-MoVA-36B-A4B-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted38.10 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 512K).

    Other GGUF files

    • Q4_K_M 20.8 GiB · cache unknown · files
    • Q5_K_M 24.6 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 4.1 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 25.3 K2 Horizon MoVA 36B A4B · Arena unknown · Model page

  2. Gemma 4 26B A4B (it)

    google/gemma-4-26B-A4B-it

    2026-04-0225B · 3.8B active

    AA index16.7 AA estimaterank #39
    Arena1,434
    Best file & memory
    Q8_025.0 GiB fileCache unknown
    26.0 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~160 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file25.02 GiBunsloth/gemma-4-26B-A4B-it-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted26.02 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other GGUF files

    • Q4_K_M 15.6 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 3.8 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 16.7 AA estimate Gemma 4 26B A4B (Reasoning) · Arena 1,434 · Model page

  3. Gemma 4 31B (it)

    google/gemma-4-31B-it

    2026-04-0231B dense

    AA index14.7rank #42
    Arena1,443
    Best file & memory
    Q8_030.4 GiB fileCache unknown
    31.4 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~27.7 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file30.39 GiBunsloth/gemma-4-31B-it-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted31.39 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other GGUF files

    • Q4_K_M 17.1 GiB · cache unknown · files
    • Q5_K_M 20.2 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 30.4 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 14.7 Gemma 4 31B (Reasoning) · Arena 1,443 · Model page

  4. Gemma 4 12B (it)

    google/gemma-4-12B-it

    2026-06-0312B dense

    AA index14.2 AA estimaterank #44
    Arena—
    Best file & memory
    Q8_011.8 GiB fileCache unknown
    12.8 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~71.4 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file11.80 GiBbartowski/gemma-4-12B-it-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted12.80 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other GGUF files

    • Q4_K_M 7.1 GiB · cache unknown · files
    • Q5_K_M 8.2 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 11.8 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 14.2 AA estimate Gemma 4 12B (Reasoning) · Arena unknown · Model page

  5. LongCat-Flash-Lite

    meituan-longcat/LongCat-Flash-Lite

    2026-01 (day unknown)69B · 3B active

    AA index11.5 AA estimaterank #54
    Arena—
    Best file & memory
    Q8_067.9 GiB fileCache unknown
    68.9 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~203 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file67.87 GiBInquiringMinds-AI/LongCat-Flash-Lite-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted68.87 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 320K).

    Other GGUF files

    • Q4_K_M 37.5 GiB · cache unknown · files
    • Q5_K_M 44.7 GiB · cache unknown · files
    • BF16 128 GiB · too big · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 3.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 11.5 AA estimate LongCat Flash Lite · Arena unknown · Model page

  6. Mistral Small 4 (119B-2603)

    mistralai/Mistral-Small-4-119B-2603

    2026-03-16119B · 6B active

    AA index11.3rank #55
    Arena—
    Best file & memory
    Q4_K_M67.6 GiB fileCache unknown
    68.6 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~177 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file67.65 GiBbartowski/mistralai_Mistral-Small-4-119B-2603-GGUF · 2 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted68.65 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 1M).

    Other GGUF files

    • Q5_K_M 79.2 GiB · too big · files
    • Q8_0 118 GiB · too big · files
    • BF16 222 GiB · too big · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 3.4 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 11.3 Mistral Small 4 (Reasoning) · Arena unknown · Model page

  7. Ling-3.0-tiny

    inclusionAI/Ling-3.0-tiny

    2026-08 (day unknown)7.9B · 1.3B active

    AA index11.1rank #57
    Arena—
    Best file & memory
    Q8_07.8 GiB fileCache unknown
    8.8 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~469 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file7.83 GiBinclusionAI/Ling-3.0-tiny-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted8.83 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 128K).

    Other GGUF files

    • Q4_K_M 4.5 GiB · cache unknown · files
    • Q5_K_M 5.2 GiB · cache unknown · files
    • FP16 14.7 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 1.3 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 11.1 Ling 3.0 Tiny · Arena unknown · Model page

  8. Nemotron 3 Nano Omni 30B A3B Reasoning

    nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

    2026-04-2830B · 3B active

    AA index10.3 AA estimaterank #60
    Arena—
    Best file & memory
    Q8_031.3 GiB fileCache unknown
    32.3 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~193 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file31.28 GiBunsloth/NVIDIA-Nemotron-3-Nano-Omni-30B-A3B-Reasoning-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted32.28 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other GGUF files

    • Q4_K_M 22.8 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 3.1 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 10.3 AA estimate Nemotron 3 Nano Omni 30B A3B Reasoning · Arena unknown · Model page

  9. DiffusionGemma 26B A4B

    google/diffusiongemma-26B-A4B-it

    2026-06-1025B · 3.8B active

    AA index9.5 AA estimaterank #62
    Arena—
    Best file & memory
    Q8_025.0 GiB fileCache unknown
    26.0 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~160 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file25.03 GiBunsloth/diffusiongemma-26B-A4B-it-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted26.03 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 256K).

    Other GGUF files

    • Q4_K_M 15.7 GiB · cache unknown · files
    • Q5_K_M 17.8 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 3.8 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 9.5 AA estimate DiffusionGemma 26B A4B · Arena unknown · Model page

  10. Gemma 4 E4B (it)

    google/gemma-4-E4B-it

    2026-04-028B dense

    AA index8.9rank #66
    Arena—
    Best file & memory
    Q8_07.6 GiB fileCache unknown
    8.6 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~110 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file7.63 GiBunsloth/gemma-4-E4B-it-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted8.63 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 128K).

    Other GGUF files

    • Q4_K_M 4.6 GiB · cache unknown · files
    • Q5_K_M 5.1 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 7.6 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 8.9 Gemma 4 E4B (Reasoning) · Arena unknown · Model page

  11. Sarvam 105B

    sarvamai/sarvam-105b

    2026-03-06105B · 10B active

    AA index8.8 AA estimaterank #68
    Arena—
    Best file & memory
    Q4_K_M59.8 GiB fileCache unknown
    60.8 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~103 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file59.80 GiBlimegreenpeper1/sarvam-105B-GGUF · 14 files HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted60.80 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 128K).

    Other GGUF files

    • Q8_0 105 GiB · too big · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 5.9 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 8.8 AA estimate Sarvam 105B (High) · Arena unknown · Model page

  12. Gemma 4 E2B

    google/gemma-4-E2B-it

    2026-04-025.1B dense

    AA index7.8 AA estimaterank #72
    Arena—
    Best file & memory
    Q8_04.7 GiB fileCache unknown
    5.7 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~179 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file4.70 GiBunsloth/gemma-4-E2B-it-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted5.70 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 128K).

    Other GGUF files

    • Q4_K_M 2.9 GiB · cache unknown · files
    • Q5_K_M 3.1 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 4.7 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 7.8 AA estimate Gemma 4 E2B (Reasoning) · Arena unknown · Model page

  13. GLM-4.7-Flash

    zai-org/GLM-4.7-Flash

    2026-01 (day unknown)30B · 3B active

    AA index—unranked
    Arena—
    Best file & memory
    Q8_029.7 GiB fileCache unknown
    30.7 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~204 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file29.66 GiBunsloth/GLM-4.7-Flash-GGUF HF files
    KV cache · 8K—Unknown
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted30.66 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: unknown (native 198K).

    Other GGUF files

    • Q4_K_M 17.1 GiB · cache unknown · files
    • Q5_K_M 19.9 GiB · cache unknown · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.4832 (n=46) × memory bandwidth ÷ 3.0 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • KV-cache size could not be established from the config (compressed or backend-specific attention).
    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA index unknown · Arena unknown · Model page

Tight: only below 8K context 1

  1. Mistral Medium 3.5 (128B dense)

    mistralai/Mistral-Medium-3.5-128B

    2026-04-28128B dense

    AA index14.2rank #43
    Arena1,421
    Best file & memory
    Q4_K_M69.8 GiB fileTight
    73.5 of 72.0 GiB+8K ctx
    Prompt—Unknown
    Generate~12.1 t/sEstimated
    First token · 4K prompt—Unknown

    Memory budget

    Weights file69.75 GiBunsloth/Mistral-Medium-3.5-128B-GGUF · 3 files HF files
    KV cache · 8K2.75 GiBBF16 cache from config.json Estimated
    Runtime allowance1.00 GiBplanning assumption Estimated
    Recurrent state—Unknown
    Accounted73.50 GiBof 72.0 GiB usable (100% of 72 GB) · 0.5 GiB spare margin required

    Max context in free memory: ≈2K tokens (native 256K).

    Other GGUF files

    • Q5_K_M 82.3 GiB · too big · files
    • Q8_0 124 GiB · too big · files
    • BF16 233 GiB · too big · files

    Where the speeds come from

    • Prompt unknown: no measured report, and no comparable vendor FP16 figure or device calibration.
    • Generate estimated from llama.cpp CUDA median efficiency 0.6735 (n=179) × memory bandwidth ÷ 69.8 GiB read per token.
    • First token unknown: needs a prefill value.

    Caveats

    • Fixed recurrent/convolution state is unknown and not included.
    • Text-only budget. A downloadable file does not prove your runtime supports this architecture.

    AA 14.2 Mistral Medium 3.5 · Arena 1,421 · Model page

32 models too big for RTX PRO 5000 72GB Blackwell

Specs & sources

Memory72 GB GDDR7source
Bandwidth1,344 GB/ssource
FP16unknownNo explicit comparable vendor figure verified in reviewed product specifications/architecture papers.
Power300 Wsource

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