- provide KL divergence data calculated vs. the FP16/BF16 (whichever is the native precision) version for both the new type as well as types of similar size
- provide [performance data](https://github.com/ggml-org/llama.cpp/tree/master/tools/llama-bench) for the new type in comparison to types of similar size on pure CPU
- Consider allowing write access to your branch for faster reviews, as reviewers can push commits directly
-- If you are a new contributor, limit your open PRs to 1.
+- If you are a new contributor
+ - Limit your open PRs to 1
+ - Do not submit trivial fixes (e.g. typos, formatting changes)
After submitting your PR:
- Expect requests for modifications to ensure the code meets llama.cpp's standards for quality and long-term maintainability