## CUDA fix for GLM 4.7 integrated into Llama.cpp A CUDA fix for GLM 4.7 Flash Attention has been integrated into the Llama.cpp project. The news was shared via a post on the LocalLLaMA subreddit, with a link to the GitHub pull request that implemented the change. The integration of this fix should lead to improvements in performance and stability when using large language models (LLM) that leverage CUDA acceleration. Flash Attention is a technique that aims to speed up and optimize the attention process in transformer models, and this specific fix focuses on its implementation with CUDA. Llama.cpp is a project focused on the efficient inference of LLM models on various hardware platforms. The addition of optimizations like this is crucial to making the models more accessible and performant on a wide range of devices. ## General context Optimizing the performance of large language models is a constantly evolving field. Techniques such as Flash Attention and the use of libraries like CUDA are essential to reduce computation times and hardware requirements, making it possible to run these models even on systems with limited resources.