💻 Optimizing Qwen Inference in llama.cpp
Developer AlexWortega has published the work-qwen35-dflash branch for the llama.cpp project, aimed at accelerating the performance of Qwen models. This update also touches upon the necessity of adapting architecture to new generations of hardware, such as NVIDIA Blackwell.
🌍 The development of llama.cpp directly impacts the accessibility of high-performance local inference. Support for new GPU architectures and optimization for specific models are critical for maintaining the project's leadership.
👤 Keep an eye on updates in the llama.cpp branches if you use new NVIDIA graphics cards or Apple Silicon chips, as this determines the speed of your local neural networks.
Source 1: https://github.com/AlexWortega/llama.cpp/tree/work-qwen35-dflash