Local LLM Benchmarks

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ternary-bonsai-2-27b

Quantization
FP8
Reasoning
off
Profile
quick
Suite
v2b
Date
2026-09-21 – 2026-09-23
Hardware
NVIDIA DGX Spark, 128 GB RAM
Inference software
vLLM 0.26.0
Measured
directly at the inference server
Overall
61.3

Categories

CategoryScore
Knowledge & reasoning69.5
Math59.6
Instruction following46.3
Code56.5
German74.5

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 77.7 ± 2.4 300
Knowledge & reasoning gpqa_diamond_gen 65.7 ± 3.4 198
Knowledge & reasoning musr_gen 65.2 ± 3.0 250
Math omni_math_gen 59.6 ± 3.1 250
Instruction following ifbench 34.3 ± 2.7 300
Instruction following ifeval 82.7 ± 3.1 150
Code livecodebench_gen 56.5 ± 3.5 200
German mmlu_prox_de 77.3 ± 2.4 300
German include_de_gen 68.8 ± 3.7 154

± 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] – – 28.5 28.5 28.5 5
Prompt processing [t/s] 512 529 622.5 602.7 638.3 5
Prompt processing [t/s] 4096 4024 898.1 896.5 899.6 5
Prompt processing [t/s] 16384 16001 892.4 886.4 903.4 5
Time to first token [ms] 512 529 849.8 828.8 876.9 5
Time to first token [ms] 4096 4024 4480.4 4473.0 4488.6 5
Time to first token [ms] 16384 16001 17931.1 17712.7 18051.2 5

Measured directly at the inference server.