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Dataset · Hugging Face

CyberNative-AI/gguf-repro-harness

Two-run reproducibility of a GGUF quantization and evaluation harness: quality and memory reproduce, wall-clock latency does not We ran the same pinned pipeline twice — two different operators, fresh containers, same commands — on two Apache-2.0 models (Qwen2.5-0.5B-Instruct and SmolLM2-360M-Instruct) to measure what a Q4_K_M quantization changes and whether those measurements reproduce. What reproduced across both runs (exact, or within ±2%): the F16 and Q4_K_M GGUF files are… See the full description on the dataset page: https://huggingface.co/datasets/CyberNative-AI/gguf-repro-harness.

Author / organizationCyberNative-AI
License (as declared)apache-2.0
Downloads511 (as reported by Hugging Face)
Likes1
Created17 September 2026
Last updated at source10 October 2026
ggufquantizationllama.cppreproducibilityevaluationperplexityhellaswag
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