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Hacker News·2 min read·hard

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

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

A new Python tool called 'picchio' has been released to help developers accurately measure the performance of local Large Language Models. It provides detailed diagnostics on GPU usage, prefill/decode speeds, and CPU fallback to help users understand the true performance of their hardware.

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One Python file that measures local LLMs: effective bits per weight, the three tok/s lanes, and silent CPU fallback.

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