mini-activations

The MiniMax-M2 series introduces Mixture-of-Experts language models that achieve high performance on agentic tasks with minimal activated parameters (9.8B per token out of 229.9B total), leveraging agent-driven data pipelines, a scalable RL system called Forge, and a checkpoint that takes early steps toward self-evolution.