| --- |
| license: apache-2.0 |
| tags: |
| - benchmark |
| - quantization |
| - gptq |
| - awq |
| --- |
| |
| # QuantBench leaderboard data |
|
|
| Raw benchmark data behind the [QuantBench leaderboard](https://quantbench.pages.dev): |
| 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. |
|
|
