MiniMax (official) @MiniMax_AI

MiniMax M3.1 Flash meets the @UnslothAI community. 🐙🦥✨ Unsloth’s Dynamic GGUFs bring our 428B MoE model to a 143.9GB 2-bit footprint, with 91.5% top-1 token agreement in their evaluation across seven domains. That means a lower memory barrier to self-hosting, deployment through Unsloth Desktop and llama.cpp, and an OpenAI-compatible API for existing apps and agents. With 78K+ GitHub stars and over 500M model downloads on Hugging Face, Unsloth gives M3.1 Flash a path into an established community of developers running, evaluating and building with open models. Open weights. Local control. More ways to build. [引用 @UnslothAI]: MiniMax-M3.1-Flash can now run locally! We made 2-bit GGUF retain 91.5% top 1 accuracy while being 45% smaller. Run on 150GB RAM. MiniMax-M3.1-Flash is the strongest open model for its size & among the best overall. GGUF: https://t.co/A8Xp9uqpq1 Guide: https://t.co/gW5gp25niu https://t.co/txl6ZPRTjs