Local LLM Benchmarks

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qwen3.8-27b-abliterated

Quantization
NVFP4
Reasoning
off
Profile
quick
Suite
v2b
Date
2026-09-20 – 2026-09-21
Hardware
NVIDIA DGX Spark, 128 GB RAM
Inference software
vLLM 0.26.0
Measured
directly at the inference server
Overall
61.4

Categories

CategoryScore
Knowledge & reasoning71.5
Math58.0
Instruction following46.1
Code59.5
German72.1

Tasks

CategoryTaskScore±n
Knowledge & reasoning mmlu_pro 81.0 ± 2.3 300
Knowledge & reasoning gpqa_diamond_gen 70.7 ± 3.2 198
Knowledge & reasoning musr_gen 62.8 ± 3.1 250
Math omni_math_gen 58.0 ± 3.1 250
Instruction following ifbench 34.0 ± 2.7 300
Instruction following ifeval 82.7 ± 3.1 150
Code livecodebench_gen 59.5 ± 3.5 200
German mmlu_prox_de 74.3 ± 2.5 300
German include_de_gen 67.5 ± 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] – – 15.9 15.1 16.0 5
Prompt processing [t/s] 512 529 1805.5 1685.0 1818.2 5
Prompt processing [t/s] 4096 4024 2472.0 2175.2 2483.2 5
Prompt processing [t/s] 16384 16001 1685.4 1489.9 1688.7 5
Time to first token [ms] 512 529 293.0 291.0 314.3 5
Time to first token [ms] 4096 4024 1627.8 1620.5 1872.0 5
Time to first token [ms] 16384 16001 9493.9 9475.4 10858.2 5

Measured directly at the inference server.