llama.cpp b10253 release adds updated HTTP library and expanded platform support
ggml-org's llama.cpp gets a new release with cpp-httplib 0.52.0 and pre-built binaries across 20+ platforms.
The llama.cpp project, maintained by ggml-org, published its b10253 release on August 4th. This version is notable for updating cpp-httplib to 0.52.0, a key dependency for the project's built-in HTTP server. The update brings improved networking reliability and new features to developers who use llama.cpp's server mode to host LLMs as REST APIs. Since llama.cpp is widely used for edge AI inference, this change directly impacts anyone running local ChatGPT-like services or developing AI applications on custom hardware.
The release shines in its breadth of pre-built artifacts. The team compiled binaries for macOS (including a KleidiAI-accelerated variant for Apple Silicon), Linux across x64, arm64, s390x, and Windows for both CPU and GPU. GPU support spans Vulkan, ROCm 7.2, OpenVINO, SYCL, CUDA 12 and 13, plus OpenCL for Adreno GPUs on Android. Also included are OpenEuler builds for Ascend NPUs (310p and 910b). This massive distribution matrix means that from a data center GPU server to a phone or a Raspberry Pi-class device, users can pull a ready-to-run executable. This lowers the barrier to experimenting with llama.cpp, and speeds up deployment for developers who need deterministic, offline LLM inference without relying on cloud APIs.
- Updates cpp-httplib to 0.52.0, enhancing the HTTP server component for local LLM inference APIs.
- Ships pre-built binaries for macOS, Linux, Windows, Android, and OpenEuler across 20+ architecture and accelerator combinations.
- Includes optimized GPU builds for Vulkan, CUDA 12/13, ROCm 7.2, OpenVINO, SYCL, and OpenCL Adreno.
Why It Matters
This release makes running local LLMs faster and more accessible on virtually any device, reducing dependency on cloud services.