Mistral Integration Improved in Llama.cpp
13 days ago
- #llama.cpp
- #Mistral
- #GitHub
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- Improvement of Mistral models integration with llama.cpp discussed in issue #14737.
- Mistral's architecture uses sliding window attention (SWA) with a default window size of 4096 tokens.
- Support for passing jinja templates in llama.cpp for model serving.
- Discussion on updating Pydantic requirements and handling formatting/style changes in PRs.
- Plans to add support for Voxtral model in llama.cpp after current PR merges.
- Refactoring and merging of code for better integration and maintenance.
- Release of Magistral GGUF model and its smooth operation with llama.cpp.
- Final review and readiness for merging the PR with community feedback incorporated.