llama.cpp b10251 Adds Multi-Token Prediction Support for GLM-4.7-Flash
The latest release of llama.cpp (build b10251) introduces support for Multi-Token Prediction (MTP) specifically for the GLM-4.7-Flash model. Multi-Token Prediction allows models to generate multiple tokens simultaneously, which can significantly improve inference speed and efficiency for lightweight deployments of GLM-4.7-Flash. The update is tracked under pull request #24868 and is available across various pre-built binaries for macOS, Windows, Linux, and Android.
## BACKGROUND
llama.cpp is a highly optimized C/C++ inference engine designed to run large language models efficiently on consumer hardware. GLM-4.7-Flash is a lightweight, multilingual model optimized for speed and tool integration, while Multi-Token Prediction (MTP) is an emerging technique that speeds up generation by predicting several future tokens at once instead of just one.