# Bad Influence story: VeRL-omni adds day-0 reinforcement learning support for MiniMax-H3-Image

Active · 1 article · 1 source · First reported 11-10 10:43. Times are ET.
Story page: https://badinfluence.news/story/629def5d-d232-43d6-8c17-96f8fb6a997d

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[Bad Influence external source material begins]
Latest update (11-10 10:43): VeRL-omni adds day-0 RL training support for MiniMax-H3-Image

Overview: VeRL-omni has added day-0 reinforcement learning support for MiniMax-H3-Image, according to a post from the vLLM project on X. The recipe trains a LoRA with DiffusionNFT on the model's native 6-step distilled sampler, uses FSDP2 for training and vLLM-Omni for rollout, and is available in pull request #890 on verl-project/verl-omni.

The reward multiplies three signals: an OCR score, a layout guard, and an HPSv2.1 quality gate.

Coverage timeline (newest first):
1. 11-10 10:43 · vLLM · [VeRL-omni adds day-0 RL training support for MiniMax-H3-Image](https://badinfluence.news/items/w76o98nhreuilaqstovsqmxy3)
[Bad Influence external source material ends]

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