## Kimi-Linear-48B and llama.cpp: When Will Integration Happen? A user has raised a question regarding the implementation of Kimi-Linear-48B-Instruct-GGUF in llama.cpp. The Kimi-Linear model seems to handle very long text contexts effectively, and the community is wondering why it hasn't been integrated into the llama.cpp library yet. The integration of advanced models like Kimi-Linear into consolidated frameworks like llama.cpp is crucial to allow a wider audience of developers and researchers to benefit from new architectures and capabilities. It remains to be seen when and how this integration will be realized. ## General Context lama.cpp is a performance-focused machine learning inference library written in C++. It is designed to run large language models (LLMs) on consumer hardware. The library is known for its efficiency and portability, supporting various platforms and hardware architectures.