Ai2 opens the full code and training data behind MolmoAct 2
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MolmoAct 2 artifacts have been downloaded 400K+ times in under 1 month. Today we're opening up the full code & training data: everything you need to fine-tune or build on our fully open robotics foundation model. 🧵
What's now open alongside the model: 1️⃣ Fine-tuning scripts 2️⃣ Every dataset used to train MolmoAct 2 3️⃣ All of our evaluation rollouts 4️⃣ Training recipe for the open source MolmoAct 2 tokenizer
MolmoAct 2 now also officially supports @HuggingFace’s @LeRobotHF platform. Teams already working in the LeRobot ecosystem can drop the model into their existing setup without retooling. 🤗 Learn more: https://t.co/RLvTLQYHzo
@huggingface @LeRobotHF Open robotics gets stronger when researchers can evaluate models like MolmoAct 2 themselves. Try it on new robots and tasks + tell us what you discover. 💻 Code: https://t.co/xtGlXyh5oT 📝 Learn more: https://t.co/cZLnrODfEL
Context
Ai2's May 28, 2026 release supplies more of the materials needed to adapt and examine MolmoAct 2, its robotics model. The announcement adds the training datasets, scripts and recorded runs alongside the model. Together, those materials let researchers inspect the examples used to train it, modify it for their experiments, and examine its behavior during evaluation. The contribution is access to the development and testing process as well as the trained model.
- fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
- eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
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