llama.cpp Release b11025 Extends Support for Nemotron Multi-Token Prediction
llama.cpp released automated build version b11025, which extends support for NVIDIA Nemotron Multi-Token Prediction (MTP) model architectures. The update includes cleanups to model declarations and pre-built binaries for macOS, Linux, Windows, Android, and iOS. Multi-Token Prediction (MTP) enables language models to generate multiple tokens simultaneously, serving as a speculative decoding technique to accelerate inference. Expanding MTP support in llama.cpp allows users to run Nemotron models more efficiently on consumer hardware. The release incorporates pull request #29018, which fixed model implementation details and removed redundant declarations. The pre-built binaries cover a wide range of runtime environments, including CUDA 12/13, Vulkan, ROCm 10.0, SYCL, OpenVINO, and OpenCL.
## BACKGROUND
llama.cpp is an open-source C/C++ inference framework optimized for running large language models locally on CPUs and GPUs. Nemotron is a family of LLMs created by NVIDIA, featuring techniques such as Multi-Token Prediction (MTP) to improve token generation speed during execution.