Open Source
llama.cpp b9124 Release Expands Platform Support
llama.cpp Releaseshigh confidence
Why it matters
- →Expanding platform support increases accessibility for developers across different systems.
- →Exposing modalities to the /v1/models endpoint enhances deployment flexibility.
- →Strengthens llama.cpp's position as a versatile inference runtime.
The b9124 release of llama.cpp introduces expanded platform support, enhancing its utility for developers. This update exposes modalities to the /v1/models endpoint, allowing for more flexible model deployment. It includes support for various operating systems, such as macOS Apple Silicon, Windows with CUDA 13, and Ubuntu with ROCm 7.2. While no new models are introduced, this release solidifies llama.cpp's role as a versatile inference runtime across multiple hardware setups.
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Llama.cpp b9116 Release Adds MiMo v2.5 Vision
The latest b9116 release of llama.cpp introduces MiMo v2.5, enhancing vision support with fused qkv for improved performance. This update addresses previous issues like f16 vision overflow and includes various cleanups for better code maintenance. With expanded platform support, including macOS, Linux, and Windows, this release broadens accessibility for developers working on diverse systems. The focus on vision capabilities marks a significant step in making llama.cpp a more versatile tool for AI developers, particularly those interested in integrating vision functionalities.
llama.cpp Releases
Open Sourcemodels
llama.cpp b9118 Release Expands Platform Support
The latest b9118 release of llama.cpp continues its trend of broadening platform compatibility, now including support for a wide array of systems such as macOS, Linux, Windows, and Android. Notably, this update introduces Vulkan support on Ubuntu and Windows, alongside ROCm 7.2 for AMD GPUs, which is a significant step for users seeking alternatives to NVIDIA's CUDA. The inclusion of KleidiAI on Apple Silicon further enhances performance for M-series Macs. While there are no new model architectures, this release solidifies llama.cpp's position as a versatile inference runtime across diverse hardware configurations.
