This post discusses running the Qwen3 model locally on Mac using MLX, a library that simplifies machine learning tasks. Several users express their satisfaction with the model's performance and capabilities. Users note that Qwen3-30B-A3B provides impressive performance at 70 tok/s on the new M3 Max chip, and even the smaller 0.6B model is seen as useful for practical tasks. Discussions also touch on integration possibilities with cloud-based agents and the need for better local-first AI tools for coding. A few comments highlight the challenges of utilizing alternative platforms like Linux, while others emphasize the importance of correct model configuration for successful use. There are queries around creating a centralized proxy for managing access to various LLMs, which could streamline workflows for users involved in AI development.