TL;DR: The latest llama.cpp release introduces code deduplication for imatrix loading and memory optimization via filter returns.
Summary: Release b9515 of llama.cpp consolidates duplicated imatrix code into a single common loader. It also introduces a filter return optimization to save memory during processing, alongside disabling on-device speculative checkpoints in the server.
Why it matters: These changes improve code maintainability and runtime memory efficiency for developers running local LLMs. Builders should update to this release to benefit from the reduced memory footprint.
Source: github.com