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(CA) [Open PR] llama : add --n-cpu-ffn option by John-194 · Pull Request #26622 · ggml-org/llama.cpp

llama.cpp adds CPU offload option for dense models

By PulseAugur Editorial · [1 sources] ·

A new pull request has been submitted to the llama.cpp project, proposing the addition of a `--n-cpu-ffn` option. This feature aims to provide CPU offloading capabilities for dense models, similar to the existing `--n-cpu-moe` option for Mixture-of-Experts (MOE) models. The PR, submitted by John-194, is expected to enhance performance and flexibility for users running dense models on local hardware, particularly those with limited VRAM. AI

IMPACT Enhances local LLM deployment by improving CPU offloading for dense models.

RANK_REASON Pull request for a new feature in an open-source project.

Read on r/LocalLLaMA →

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

llama.cpp adds CPU offload option for dense models

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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 (CA) · /u/pmttyji ·

    [Open PR] llama: add --n-cpu-ffn option by John-194 · Pull Request #26622 · ggml-org/llama.cpp

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vsjz2n/open_pr_llama_add_ncpuffn_option_by_john194_pull/"> <img alt="[Open PR] llama : add --n-cpu-ffn option by John-194 · Pull Request #26622 · ggml-org/llama.cpp" src="https://external-preview.redd.it/HNrd…

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