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Ollama 0.40 adds new metrics, including a flawed prefill rate and decision probabilities

By PulseAugur Editorial · [1 sources] ·

Ollama version 0.40 introduces new metrics, including a prefill rate and decision model probabilities, though the prefill rate calculation is flawed. The prefill rate incorrectly inflates the speed by factoring in cached tokens, leading to misleadingly high numbers. Decision models, such as nimble and tev1, provide probabilities for choices or scores instead of generating text, but can be mistakenly offered for chat completions if not properly filtered by capability. AI

IMPACT This update to Ollama provides developers with more detailed performance metrics, though users should be aware of potential inaccuracies in the reported prefill rate.

RANK_REASON The item details a new version of a local LLM runner and its new features, including a flawed metric calculation.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ollama 0.40 adds new metrics, including a flawed prefill rate and decision probabilities

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42 / 100
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Tool
The item details a new version of a local LLM runner and its new features, including a flawed metric calculation.
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Single-source cluster
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product, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Ivan Stankovic ·

    Four numbers Ollama 0.40 gives you now, and which ones to trust

    <p>Ollama went from 0.33 to 0.40 in six weeks, and most of what changed is invisible unless you<br /> read the responses with a magnifier. I did, because I maintain a tool that has to. Here are<br /> four numbers the daemon reports now that it didn't before, what each one actuall…

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