Models & Labs
Llama.cpp b9127 Release Adds Adreno xmem GEMM
llama.cpp Releaseshigh confidence
Why it matters
- →Enhances performance for Adreno GPU users with new GEMM support.
- →Expands llama.cpp's compatibility across multiple hardware platforms.
- →Strengthens llama.cpp's position as a versatile inference runtime.
The b9127 release of llama.cpp brings an opt-in Adreno xmem F16xF32 GEMM for prefill, aimed at improving performance on Adreno GPUs. This update includes adjustments to kernel naming and addresses previous review comments, enhancing the OpenCL experience. The release supports a wide range of platforms, including macOS, Linux, and Windows, with specific builds for Vulkan, ROCm, and CUDA. This update reinforces llama.cpp's adaptability across different hardware environments, making it a more robust choice for developers.
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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.
