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llama.cpp b9966 optimizes performance by caching regex patterns

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released version b9966, which includes a performance optimization for users employing the "sm-tensor" flag. This update resolves an issue where 29 regular expression patterns were being unnecessarily recompiled for each tensor and token during the decoding process. By caching these patterns, the fix significantly reduces wasted CPU cycles on the decode thread, leading to more efficient operation. AI

IMPACT Improves efficiency for users of llama.cpp with the sm-tensor flag by reducing CPU usage.

RANK_REASON This is a minor software update for a specific tool, not a frontier release or significant industry event.

Read on r/LocalLLaMA →

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

llama.cpp b9966 optimizes performance by caching regex patterns

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This is a minor software update for a specific tool, not a frontier release or significant industry event.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Svenska(SV) · /u/Bulky-Priority6824 ·

    llama.cpp b9966 for sm-tensor

    <!-- SC_OFF --><div class="md"><p><a href="https://github.com/ggml-org/llama.cpp/releases">B9966</a></p> <p>If you run -sm tensor in production you might want to grab this fix which removes 29 regex recompilations per tensor per token on the decode thread.</p> <p>Claude tell me i…

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