llama.cpp b9415 releases with skip_download and expanded platform support

llama.cpp, the leading open-source C++ library for running large language models locally, just dropped version b9415. The release from ggml-org packages over 17 prebuilt binary configurations, making it easier than ever to deploy LLMs on consumer hardware. Notable additions include a `skip_download` flag (PR #23059) that lets developers bypass file downloads when caching assets, and expanded platform builds such as macOS Apple Silicon with KleidiAI acceleration, Linux on s390x, and Windows with CUDA 13 DLLs. The update also ships Vulkan, ROCm 7.2, and SYCL builds for AMD and Intel GPU users.

For the AI community, b9415 signals continued commitment to edge inference democratization. By providing ready-to-run binaries for architectures from ARM64 to x86, and backends from CPU to specialized accelerators, llama.cpp reduces friction for researchers and hobbyists alike. The `skip_download` flag may seem minor, but it streamlines CI/CD pipelines and Docker workflows where models are already present. With this release, llama.cpp reinforces its role as the go-to cross-platform engine for running open-weight models like Meta's LLaMA 3 and Mistral on local devices.