README.md

metadata

license: apache-2.0
tags:
  - benchmark
  - quantization
  - gptq
  - awq

QuantBench leaderboard data

Raw benchmark data behind the QuantBench leaderboard: calibration-quality GPTQ/AWQ quantization results across model sizes, calibration corpora, and GPU tiers. 331 rows (239 ok / 92 failed — failed runs are published too; a documented failure is a finding, not noise).

Models

• Qwen/Qwen2.5-1.5B-Instruct (1.5B)
• HuggingFaceTB/SmolLM2-1.7B-Instruct (1.7B)
• deepgrove/Bonsai (0.5B)
• Qwen/Qwen2.5-3B-Instruct (3B) — licence pending, rows only, no weights here
• HuggingFaceTB/SmolLM3-3B (3B)

Files

• rows.csv — the full table (see the leaderboard site for column definitions and the methodology page for the eval protocol).
• <row_id>.json — one file per row, same fields as its rows.csv line.
• niche_rows.csv — task-level niche columns over the same artifacts (HumanEval[0:50] pass@1, FiQA-2018 sentiment accuracy [flare-finqa is gated for this token — instrument recorded per row], SEC-filing context drift, 10-prompt ROUGE-L consistency), each vs a same-stack fp16 baseline; failures/skips recorded as rows.
• logs/ — the driver log, last heartbeat, and spend ledger from the run that produced this data (transparency, not polish — these are raw operational logs).
• pools/BUILD.md — exact recipe to reproduce the calibration/eval text pools. No third-party corpus text is redistributed here.

Honesty notes carried into every row

• GPTQ rows in this sweep ran gptqmodel's torch-fallback kernel path (load_backend column), not the optimized kernel — perplexity is unaffected, throughput numbers understate what a working kernel would show.
• fp16 baselines are per-stack (autoawq vs gptqmodel use different torch/transformers pins), so ppl_delta_vs_fp16 is only comparable within one stack and one GPU tier, never across them.
• webgpu_runnable is [UNVERIFIED] on every row — no browser measurement was run.
• Machine-generated benchmark output. Independent verification welcome; treat any single row as a data point, not a certified result.