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llama.cpp adds MMVQ optimization for MoE models like Qwen 35B

By PulseAugur Editorial · [1 sources] ·

A pull request to the llama.cpp project introduces optimizations for Mixture of Experts (MoE) models, specifically targeting architectures like Qwen 35B A3B. This enhancement, named MMVQ, aims to improve the speed of these models by fusing shared experts within the CUDA framework. The change was submitted by user am17an and is part of ongoing efforts to optimize local large language model performance. AI

IMPACT Improves inference speed for specific Mixture of Experts models on local hardware.

RANK_REASON Pull request to an open-source project for optimizing model inference.

Read on r/LocalLLaMA →

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

llama.cpp adds MMVQ optimization for MoE models like Qwen 35B

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Pull request to an open-source project for optimizing model inference.
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COVERAGE [1]

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

    CUDA: fuse shared experts into MMVQ by am17an · Pull Request #29184 · ggml-org/llama.cpp

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1ww1sn4/cuda_fuse_shared_experts_into_mmvq_by_am17an_pull/"> <img alt="CUDA: fuse shared experts into MMVQ by am17an · Pull Request #29184 · ggml-org/llama.cpp" src="https://external-preview.redd.it/XX274TcUYU…

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