Molt: A Lightweight RL Training Framework
heghbalz · x · 2026-07-14
A reshared post introducing a new RL training framework named Molt, designed to replace the increasingly bloated Megatron stack, making it easier for researchers to modify and experiment.
Key highlights include:
- Built on PyTorch-native + vLLM with a streamlined interface
- Supports fully async, R3, TP/EP/CP, TITO, and multimodal training
- Tailored for MoE RL training, scaling up to 1T parameters
- The codebase is roughly 8,000 lines, about 1/3 the size of Slime and 1/9 of Verl
The author's stance is clear: this is a much lighter alternative that you can start hacking on right away.
Related event: NVIDIA Introduces Molt: A Pure PyTorch RL Framework(3 posts)→
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