llama.cpp Releases Build b11036 with GGML Buffer Fix
llama.cpp released automated build b11036, incorporating PR #26070 into the underlying ggml library. The update adds explicit error handling for graph buffer reservation failures during computation setup. Handling buffer reservation failures prevents application crashes when running large language models on systems with limited memory. This improves runtime reliability across various supported backends, including CPU, CUDA, Vulkan, and ROCm. The single change in this release fixes graph buffer reservation failures within ggml. Compiled binaries for build b11036 have been published for macOS, Linux, Windows, Android, and iOS.
## BACKGROUND
llama.cpp is an open-source C/C++ inference engine designed to execute Large Language Models efficiently on consumer-grade hardware. It relies heavily on ggml, a minimalist tensor library that handles core computation graphs and memory management across CPUs and accelerators.