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Molt — a ~9K-line, PyTorch-native RL framework for agentic post-training that scales to hundred-B MoE

TL;DR — We built Molt, an agentic-first, PyTorch-native RL post-training framework. It's about 9K lines of core RL code you can actually read end to end, yet it trains MoE models from Qwen3.5-397B up to GLM-5.2 753B-scale. The whole stack is just Ray + vLLM + NVIDIA AutoModel/FSDP2 — no Megatron. Code: https://github.c