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While for hf_weight_loader, users can directly. While for hf_weight_loader, users can directly. We already support dtensor weight loader.
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Users only need to implement the corresponding dtensor_weight_loader for weight synchronization between fsdp and vllm. Verl 是一个灵活、高效且可用于生产环境的强化学习（rl）训练框架，专为大型语言模型（llms）的后训练设计。 它由字节跳动火山引擎团队开源，是 hybridflow 论文的开源. Users only need to implement the corresponding dtensor_weight_loader for weight synchronization between fsdp and vllm.
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We suggest using dtensor_weight_loader which gather the full model parameter layer by layer to reduce the peak memory usage.
