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llama.cpp changes default lazy-mode, impacting performance

By PulseAugur Editorial · [1 sources] ·

The default behavior of llama.cpp's --lazy-mode has been changed to 'auto', which now keeps large embedding tables on disk and maps them on demand during inference. This modification, implemented in commit b10726, can lead to a significant performance penalty, with one user reporting a 50% speed reduction in table processing and a 15% decrease in token generation speed. Users with sufficient RAM are advised to explicitly set --lazy-mode to 'off' to revert to the previous behavior of loading tables into memory. AI

IMPACT This change in llama.cpp's default behavior may necessitate configuration adjustments for users seeking optimal performance, particularly those running large models with significant embedding tables.

RANK_REASON Change in default behavior of a popular open-source inference engine, impacting performance for users.

Read on r/LocalLLaMA →

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

llama.cpp changes default lazy-mode, impacting performance

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Change in default behavior of a popular open-source inference engine, impacting performance for users.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/whiteh4cker ·

    Warning: llama.cpp --lazy-mode default changed to auto - large tables may stay on disk

    <!-- SC_OFF --><div class="md"><p>With b10726, the default --lazy-mode change keeps the 51B-parameter PLE n-gram embedding table of Qwen 3.8 Flash Next on disk: it is mmap'd and its rows are read on demand during inference, even with --load-mode none. It is no longer loaded into …

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