Mohaaxa/quantbench-leaderboard-data

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… See the full description on the dataset page: https://huggingface.co/datasets/Mohaaxa/quantbench-leaderboard-data.