Same model, same Q4_K_M label: 5.02, 5.07 and 5.27 bits per weight

AI & Machine Learning, Software Development, Other: Performance Benchmarking(github.com)view on HackerNews

large language modelsperformance benchmarkingsilent CPU fallbacktok/sllama.cppollamapicchio

Author: logickkk1

Date: 7/14/2026

Article Summary:

A Python tool, picchio, measures the performance of local large language models (LLMs) by catching silent CPU fallback and mislabeled tokens per second (tok/s) issues.