Llama.cpp b10184 adds MTP review feedback, expands platform support
New release brings optimized builds for Apple Silicon, Vulkan, and more...
The open-source community favorite llama.cpp from ggml-org dropped version b10184, a significant release that refines multi-token prediction (MTP) capabilities based on developer feedback. This release, signed and verified on GitHub, ensures that local LLM inference remains cutting-edge for power users. The commit authored by mimo2 (co-authored with tnhnyc) specifically addresses MTP review feedback, likely improving the accuracy and speed of models that predict multiple tokens in parallel.
Platform support is a highlight: macOS users get separate builds for Apple Silicon (including KleidiAI-enabled variant) and Intel x64. Linux gets CPU builds for x64, arm64, and s390x, plus accelerated variants using Vulkan, ROCm 7.2, OpenVINO, SYCL (FP32/FP16). Windows has CPU builds, plus CUDA 12/13 DLL packages, Vulkan, OpenVINO, SYCL, and HIP. Android arm64, Windows arm64 with OpenCL Adreno, and even openEuler (with Ascend 310p/910b) are included. UI assets are also bundled.
- Addresses MTP (multi-token prediction) review feedback for improved LLM inference
- Provides 27 platform-specific builds across macOS, Linux, Windows, Android, and openEuler
- Includes GPU-accelerated builds such as CUDA 12/13, ROCm 7.2, Vulkan, SYCL, and OpenCL Adreno
Why It Matters
Llama.cpp keeps local LLM deployment fast and flexible across nearly every platform, from phones to servers.