A high-throughput and memory-efficient inference and serving engine for LLMs
其他人工智能更新于 2026-11-02
其他人工智能Apache-2.0
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verl-project/verl-omni
Multimodal RL training framework for diffusion & omni models
Brief / README 摘要
查看原文VeRL-Omni is a general RL training framework focused on multimodal generative models, built on top of verl. It originated from the multi-modal generation RL effort in verl, and now has a dedicated home so it can evolve in a more focused way. [2026-10] 🎉 We have released v0.3.0 for fully async diffusion/omni RL with the v1 trainer as the default. [2026-10] OmniNFT is now supported for audio-video post-training. The LTX2.3 text-to-video+audio LoRA recipe runs on Ascend NPU with modality-wise advantage routing. [2026-09] The v1 trainer (TransferQueue + ReplayBuffer) is now the default for diffus…
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