Open Source
llama.cpp b9161 Release Enhances Codex CLI Support
llama.cpp Releaseshigh confidence
Why it matters
- →Enhances Codex CLI usability by skipping unsupported tools.
- →Expands platform compatibility, ensuring broader accessibility.
- →Focuses on refining existing functionalities for improved reliability.
The b9161 release of llama.cpp focuses on enhancing support for the Codex CLI by skipping unsupported Responses tools, which improves the tool's functionality. This update also includes warnings for skipped tools and reverts special handling for gpt-oss apply_patch. The release supports a wide range of platforms, including macOS, Linux, and Windows, ensuring broad compatibility. While no new models are introduced, the update refines existing features, making llama.cpp more reliable for developers.
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Llama.cpp adds GLM-5.2 speculative decoding support
Llama.cpp's latest update introduces speculative decoding support for GLM-5.2, enhancing its capabilities with NextN/MTP features. This addition allows for more efficient tensor loading and context management, particularly benefiting models using the GLM_DSA architecture. The update also includes options for exporting models with or without the MTP feature, providing flexibility for developers. This release marks a step forward in optimizing model performance and adaptability, especially for those leveraging the GLM-5.2 framework.
llama.cpp Releases
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llama.cpp b10175 Release Expands Platform Support
The latest b10175 release of llama.cpp continues its trend of broadening platform compatibility, making it a versatile tool for developers across different systems. Notably, this update includes support for ROCm 7.2 on Ubuntu x64, which is significant for AMD GPU users seeking alternatives to NVIDIA's CUDA. The release also maintains a wide array of builds for Windows, macOS, and Linux, ensuring that developers can leverage llama.cpp's capabilities regardless of their hardware setup. While there are no groundbreaking new features, the consistent expansion of platform support solidifies llama.cpp's position as a flexible inference runtime option.
