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Why Your Local LLM Gives Different Answers at Temperature 0.

This story is from 2026-10-23. It is preserved in the archive; the latest stories are on the live feed.

You set temperature to 0, fix the seed, send the same prompt twice, and get two different answers. This post explains where the difference comes from, how to see it on your own machine, and what each engine offers if you need answers that repeat. The symptom One measured case: I ran lm-evaluation-h…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-10-23 05:57 · DEV Community — Machine Learning
    Why Your Local LLM Gives Different Answers at Temperature 0.

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