llama.cpp b9541 adds broader GPU support and platform builds

The open-source project llama.cpp, known for running large language models efficiently on consumer hardware, released version b9541. This tag includes a fix for a format specifier in LOG_INF that improves logging reliability. The release is signed with a verified GPG key, ensuring integrity. Most notably, b9541 expands the pre-built binary matrix to cover over a dozen platform configurations, including macOS (Apple Silicon and Intel), Linux (with CPU, Vulkan, ROCm 7.2, OpenVINO, SYCL FP32), Windows (CPU, CUDA 12.4/13.3, Vulkan, HIP), Android arm64, and even OpenEuler with ACL Graph support. Some configurations like KleidiAI on macOS and SYCL on Windows remain disabled.

This release demonstrates the project's commitment to broad compatibility across GPU backends and OS types, making it easier for developers and enthusiasts to deploy local LLMs without compiling from source. The focus on GPU support—Vulkan for cross-platform, ROCm for AMD, CUDA for NVIDIA, and HIP for AMD on Windows—underscores the trend of democratizing AI inference. With over 115k stars on GitHub, llama.cpp continues to be a cornerstone for running models like Llama, Mistral, and others on personal devices. The b9541 update is incremental but important for stability and accessibility.