The llama.cpp project has released build b10656, which includes a change to cap the working memory size. This modification is designed to prevent large tensors from being loaded into system RAM.
- The release provides binaries for macOS (Apple Silicon and Intel), iOS, Linux (Ubuntu x64, arm64, s390x), Android, Windows, and openEuler.
- Supported backends include CPU, Vulkan, ROCm 7.14, OpenVINO, SYCL, CUDA 12/13, and OpenCL Adreno.
- KleidiAI support for macOS Apple Silicon is disabled in this build.
This update ensures more stable memory usage during quantization processes by limiting the working memory footprint.