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llama.cpp bug fixed for Tesla P100 GPUs

By PulseAugur Editorial · [1 sources] ·

A bug in the llama.cpp software that affected Tesla P100 GPUs has been identified and fixed. This issue caused the GPUs to perform calculations with reduced precision, leading to less accurate results in language model tasks. The fix, which involves a three-line code change, restores the intended precision and has been merged into the turboquant v0.3.0 release of llama.cpp. While the bug specifically impacted the P100 (sm_60) architecture, the developer notes that newer GPUs and other Pascal cards like the P40 (sm_61) were not affected. AI

IMPACT Restores intended precision for Tesla P100 GPUs running language models via llama.cpp.

RANK_REASON The cluster describes a bug fix in a specific software library for a particular hardware model, which is a tooling improvement.

Read on r/LocalLLaMA →

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

llama.cpp bug fixed for Tesla P100 GPUs

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The cluster describes a bug fix in a specific software library for a particular hardware model, which is a tooling improvement.
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76 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/apollo_mg ·

    **Your $80 Tesla P100 has been doing silently noisy math in llama.cpp for years. Three lines fix it, for free.**

    <!-- SC_OFF --><div class="md"><p>## TLDR;</p> <p>Shipped — in turboquant v0.3.0, downloadable now. <a href="https://github.com/TheTom/llama-cpp-turboquant/releases/tag/tqp-v0.3.0">https://github.com/TheTom/llama-cpp-turboquant/releases/tag/tqp-v0.3.0</a></p> <p>llama.cpp's CUDA …

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