llama.cpp Proposes VRAM Usage Optimization PR

·2026.06.02 00:29

Key point

A Pull Request has been proposed in llama.cpp that improves the way logits space is reserved to reduce VRAM usage.

Details

A Pull Request (#23861) has been submitted to optimize VRAM usage by limiting max outputs in llama_context of llama.cpp.

This PR adopts an approach of reserving logits space for n_seqs when possible. According to the author's tests, this can save approximately an additional 1.2GB of VRAM in a -ub 2048 and MTP (Multi-Token Prediction) environment.

This PR is currently in draft status, and proposes a direction to improve the llama-context API so that the number of reserved tokens can be set to 1 in the server context.

open-source logits llama.cpp llm-inference vram-optimization

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