Open Source
llama.cpp b9015 Release Expands Platform Support
llama.cpp Releaseshigh confidence
Why it matters
- →Expands compatibility across a wide range of hardware platforms.
- →Enhances performance for AMD GPU users with ROCm 7.2 support.
- →Strengthens llama.cpp's position as a versatile inference runtime.
The b9015 release of llama.cpp has been announced, featuring expanded support across various platforms. This update includes builds for macOS Apple Silicon, Ubuntu with ROCm 7.2, and Windows with CUDA 12 and 13. The release also extends Vulkan support to multiple systems, enhancing compatibility and performance. This iteration focuses on broadening the software's reach, making it a more versatile tool for developers working with different hardware setups.
Read originalMore from llama.cpp Releases
Models & Labsmodels
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
Open Sourcemodels
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.
