Local LLM Benchmarks

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zgcm-1-7b

Quantization
NVFP4
Reasoning
off
Profile
quick
Suite
v2b
Date
2026-09-23
Hardware
NVIDIA DGX Spark, 128 GB RAM
Inference software
vLLM 0.26.0
Measured
directly at the inference server
Overall
33.4

Categories

CategoryScore
Knowledge & reasoning34.7
Math40.0
Instruction following44.3
Code23.0
German24.8

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 25.3 ± 2.5 300
Knowledge & reasoning gpqa_diamond_gen 32.3 ± 3.3 198
Knowledge & reasoning musr_gen 46.4 ± 3.2 250
Math omni_math_gen 40.0 ± 3.1 250
Instruction following ifbench 33.0 ± 2.7 300
Instruction following ifeval 78.7 ± 3.4 150
Code livecodebench_gen 23.0 ± 3.0 200
German mmlu_prox_de 21.0 ± 2.4 300
German include_de_gen 32.5 ± 3.8 154

± is the standard error; the 95% interval spans roughly 1.96 standard errors around the score.

Speed

MeasureContext (target)Context (actual)Medianp10p90n
Generation [t/s] – – 33.7 33.7 33.7 5
Prompt processing [t/s] 512 526 3487.7 3466.3 3494.1 5
Prompt processing [t/s] 4096 4047 3957.9 3932.1 3965.1 5
Prompt processing [t/s] 16384 16107 3928.9 3924.4 3936.6 5
Time to first token [ms] 512 526 150.8 150.5 151.7 5
Time to first token [ms] 4096 4047 1022.5 1020.7 1029.2 5
Time to first token [ms] 16384 16107 4099.6 4091.6 4104.3 5

Measured directly at the inference server.