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llama.cpp PR optimizes Qwen35 inference speed

By PulseAugur Editorial · [1 sources] ·

A pull request has been submitted to the llama.cpp repository to optimize the Qwen35 model. The proposed change involves using a post-norm hidden state for the MTP (Multi-Turn Prompting) process. This modification aims to improve the model's inference speed. AI

IMPACT Potential for faster local inference of the Qwen35 model.

RANK_REASON This is a pull request for an open-source project that optimizes an existing model, fitting the research/development category. [lever_c_demoted from research: ic=1 ai=0.7]

Read on r/LocalLLaMA →

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

llama.cpp PR optimizes Qwen35 inference speed

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This is a pull request for an open-source project that optimizes an existing model, fitting the research/development category. [lever_c_demoted from research: ic=1 ai=0.7]
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model release, infra
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/jacek2023 ·

    qwen35: use post-norm hidden state for MTP by am17an · Pull Request #24025 · ggml-org/llama.cpp

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tvwjq8/qwen35_use_postnorm_hidden_state_for_mtp_by/"> <img alt="qwen35: use post-norm hidden state for MTP by am17an · Pull Request #24025 · ggml-org/llama.cpp" src="https://external-preview.redd.it/HAive87NA…

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