labs-molt
A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).
Research and develop reinforcement learning models using a framework designed for agent-based interactions and multi-turn tasks.
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Free · no card · unsubscribe anytimeA scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).
labs-molt has 1.3k stars on GitHub. It has been forked 130 times. labs-molt is written mainly in Python. It has been in active development since 2026. labs-molt is available under the Apache-2.0 license. Its main topics are agentic-rl, context-parallelism, expert-parallelism, fsdp.
What is labs-molt?
A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).
Is labs-molt open source?
labs-molt is an open-source project. It is released under the Apache-2.0 license.
Is labs-molt free?
Yes. labs-molt is free and open source — you can use, modify and self-host it.
What license does labs-molt use?
labs-molt is available under the Apache-2.0 license.
What language is labs-molt written in?
labs-molt is written mainly in Python.
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