vLLM

NVIDIA/Model-Optimizer is an open-source Python library on GitHub that collects state-of-the-art model optimization techniques, including quantization, distillation, pruning, neural architecture search and speculative decoding. It compresses deep learning models so they run efficiently in deployment frameworks such as TensorRT-LLM, TensorRT and vLLM, improving inference speed. It is trending on GitHub's rankings with modest engagement, and the posts shown only describe the project itself, so there is no evidence of a specific event driving attention.