Xiaomi open-sources 7,000+ RL task environments used to train MiMo
burny_tech · x · 2026-09-27
Xiaomi has open-sourced 7,000+ reinforcement learning task environments used to train MiMo, covering code, cybersecurity, general tool use, visual web development, and music tasks, released on Hugging Face under Apache 2.0 with prompts, agent configs, reward metadata, and the training framework.
The sharer argues this matters more than another model release: open weights let you run a model, open environments let you teach one. RL environments are hard to build because each task needs an executable world, a clear objective, usable tools, and a reliable success test — Xiaomi released much of that missing infrastructure.
Developers can now train models on real agent work (attempt tasks, call tools, learn from outcomes) instead of imitating static answers, or specialize smaller models on these environments.
Related event: Xiaomi open-sources MiMo-V2.6 RL dataset and training code(9 posts)→
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