llama.cpp b10265 drops with ggml sync, extended hardware support
llama.cpp's newest release b10265 syncs ggml for optimized local LLM inference...
ggml-org pushed llama.cpp b10265, the latest tagged release of the beloved open-source C++ LLM inference engine. The headline change is a sync with the upstream ggml library, which underpins llama.cpp's tensor operations and hardware acceleration. This keeps the project aligned with the latest low-level optimizations and bug fixes, ensuring smooth on-device model execution.
As with every release, b10265 expands the already impressive matrix of prebuilt binaries. Users get builds for macOS (arm64 and Intel, plus a KleidiAI-enabled variant), Linux across x64, arm64, and s390x, and Windows with CUDA 12, CUDA 13, Vulkan, OpenCL, and HIP. Android arm64 is included too. These options let developers run everything from 1B-parameter models to large 70B+ workloads on consumer GPUs, integrated graphics, or CPU-only machines.
- llama.cpp b10265 syncs ggml for refined low-level performance and correctness
- Prebuilt binaries cover macOS (arm64 + Intel), Linux (CPU, Vulkan, ROCm, OpenVINO, SYCL), and Windows (CUDA 12/13, Vulkan, OpenCL, HIP)
- Includes Android arm64 and an iOS XCFramework for on-device deployment
- Part of the project's 123k-star active development cadence
Why It Matters
llama.cpp remains the fastest path to local LLM inference, and b10265 keeps it current for developers and tinkerers.