llama.cpp adds CPU offload option for dense models

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 →

• ggml-org
• John-194
• llama
• llama.cpp

• infra

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