If you encounter triton compilation error similar to the stacktrace below, please set the use_torch_compile flag according to https://verl.readthedocs.io/en/latest/examples/config.html to disable just-in-time compilation for fused kernels.

Common config for actor, rollout and reference model. actor_rollout_ref.model.path: Huggingface model path.

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

VeRL 是字节跳动seed团队和香港大学开发的强化学习仓库。 该框架采用混合编程模型，融合单控制器（Single-Controller）的灵活性和多控制器（Multi-Controller）的高效性，可更好实现和执行多种RL算法，显著提升训练吞吐量，降低开发和维护复杂度。 本文会先简单介绍VeRL框架涉及的一些概念，并且简单阅读整理VeRL框架的一些核心算法逻辑，以方便开发者对该框架加深了解。 除了VeRL以外，还有 OpenRLHF 等非常优秀的国产开源训练框架，设计理念都非常简洁，且各 …

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In this section, we will discuss how to tune the performance of all the stages in verl, including: Rollout generation throughput. Enable use_remove_padding=True for sequence packing (i.e., data packing and remove padding). Enable use_dynamic_bsz=True for higher throughput.

I'm Niels from the open-source team at 🤗 , and was wondering whether you would be up for providing a --push_to_hub flag to the training scripts, which will automatically push the trained model to the hub, along with various metadata, like a verl tag.

For installing the latest version of veRL, the best way is to clone and install it from source. Then you can modify our code to customize your own post-training jobs.

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