LocoOperator-4B-MLX

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Model card

MLX format of model LocoreMind/LocoOperator-4B.


Apple MacBook M3 Pro
内存:36GB
核总数:14

Intelligence Benchmark Comparison

Benchmark Mode Sampled Qwen3-8B-MLX-8bit Nanbeige4.1-3B Qwen3-4B-MLX-bf16 AgentCPM-Explore LocoOperator-4B Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled
MMLU Sample 1000/14042 69.6% 24.4% 66.4% 23.4% 69.5% 23.9%
CMMLU Sample 300/11582 77.0% 26.3% 65.7% 38.3% 67.0% 22.0%
TRUTHFULQA Full 817 64.8% 22.4% 55.9% 26.9% 59.5% 24.2%
HUMANEVAL Full 164 76.8% 0.0% 76.2% 67.7% 83.5% 53.7%
HELLASWAG Sample 200/10042 77.5% 21.5% 55.0% 25.5% 82.5% 24.5%
WINOGRANDE Sample 300/1267 58.7% 50.7% 56.3% 50.0% 64.3% 49.0%

--- Detail ---

Model: Qwen3-8B-MLX-8bit
Benchmark         Accuracy   Correct   Total   Time(s)
------------------------------------------------------
MMLU                 69.6%       696    1000    2001.9
CMMLU                77.0%       231     300     401.7
TRUTHFULQA           64.8%       529     817     735.8
HUMANEVAL            76.8%       126     164     447.3
WINOGRANDE           58.7%       176     300     163.3
HELLASWAG            77.5%       155     200     266.1

Model: Nanbeige4.1-3B
Benchmark         Accuracy   Correct   Total   Time(s)
------------------------------------------------------
MMLU                 24.4%       244    1000   11826.9
CMMLU                26.3%        79     300    1027.5
HELLASWAG            21.5%        43     200       713
TRUTHFULQA           22.4%       183     817    2768.1
WINOGRANDE           50.7%       152     300    1026.4
HUMANEVAL             0.0%         0     164    2153.9

Model: Qwen3-4B-MLX-bf16
Benchmark         Accuracy   Correct   Total   Time(s)
------------------------------------------------------
MMLU                 66.4%       664    1000    1292.1
CMMLU                65.7%       197     300     616.7
HELLASWAG            55.0%       110     200     373.5
TRUTHFULQA           55.9%       457     817     785.9
WINOGRANDE           56.3%       169     300     149.5
HUMANEVAL            76.2%       125     164     745.1

Model: AgentCPM-Explore
Benchmark         Accuracy   Correct   Total   Time(s)
------------------------------------------------------
MMLU                 23.4%       234    1000    4683.5
CMMLU                38.3%       115     300    1216.4
HELLASWAG            25.5%        51     200     895.8
TRUTHFULQA           26.9%       220     817    3468.7
WINOGRANDE           50.0%       150     300      1635
HUMANEVAL            67.7%       111     164    4067.7

Model: LocoOperator-4B
Benchmark         Accuracy   Correct   Total   Time(s)
------------------------------------------------------
MMLU                 69.5%       695    1000    1175.1
CMMLU                67.0%       201     300     338.9
HELLASWAG            82.5%       165     200     144.2
TRUTHFULQA           59.5%       486     817     934.4
WINOGRANDE           64.3%       193     300     149.6
HUMANEVAL            83.5%       137     164     829.7

Model: Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled
Benchmark         Accuracy   Correct   Total   Time(s)
------------------------------------------------------
MMLU                 23.9%       239    1000    5595.6
CMMLU                22.0%        66     300    1374.5
HELLASWAG            24.5%        49     200    1832.6
TRUTHFULQA           24.2%       198     817    3914.1
WINOGRANDE           49.0%       147     300    1370.1
HUMANEVAL            53.7%        88     164    2680.2