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There are two ways to save and load models with FSDP. The 5th FSDP tutorial goes through a notebook with one method — full_state_dict. This is a unique model-saving process that puts together models up to 20B and optimizers on the rank 0 CPU memory. We’ll walk you through each step of the process. If you’re familiar with loading models via regular PyTorch, you’ll recognize the similarities it shares with loading models with FSDP. With the fullstate_save_policy, you can alter offload to CPU for C
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There are two ways to save and load models with FSDP. The 5th FSDP t…
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bilibiliPyTorch社区
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Find in video from 00:20Setting Up FSDP Class
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显存不足？训练太慢？FSDP可能是你的最佳选择，30分钟教你如何用FS…
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