llama.cpp Releases Patch Build b11125 Fixing Multi-Buffer Views
llama.cpp has released build b11125, a minor patch update designed to resolve multi-buffer views within the ggml-meta component. The change also includes a TODO note to revisit this implementation if the underlying graph allocator undergoes refactoring. Although this release is a routine automated maintenance update, it ensures accurate memory buffer mapping within the core tensor engine during model execution. Maintaining correct buffer views prevents memory misallocations across diverse supported execution backends. The patch addresses pull request #29266 within ggml-meta and includes pre-built binary distributions across Windows, Linux, macOS, iOS, Android, and backends such as CUDA, Vulkan, ROCm, OpenVINO, SYCL, and Snapdragon. Additionally, the KleidiAI support build option for macOS Apple Silicon remains temporarily disabled.
## BACKGROUND
llama.cpp is a widely used open-source framework for local LLM inference built on ggml, a dependency-free C/C++ tensor library designed for efficient machine learning compute across heterogeneous hardware platforms. KleidiAI is an open-source library developed by Arm providing optimized micro-kernels to accelerate machine learning workloads on Arm CPUs.