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Dataset · Hugging Face

protoLabsAI/lab-benchmarks

protoLabs lab-benchmarks Every number on a protoLabsAI model card traces to a row here. Release-gate results (quant vs bf16 baseline, paired task sets, outliers re-trialed x3 both sides), speed-test-v2 regime matrices (InferenceMAX-style: seeded random dataset, client-side TTFT/TPOT p50/p99, goodput), decode-at-depth ladders, and coherence-probe verdicts. Methodology: single-stream-only numbers are never published without load numbers; spec-decode accept% is reported per… See the full description on the dataset page: https://huggingface.co/datasets/protoLabsAI/lab-benchmarks.

Author / organizationprotoLabsAI
License (as declared)cc-by-4.0
Downloads137 (as reported by Hugging Face)
Likes0
Created3 July 2026
Last updated at source6 July 2026
benchmarksquantizationnvfp4mtpllm-serving
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