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sounds very similar to https://docs.pytorch.org/docs/stable/distributed.fsdp.fully_... i wonder how much this could be replicated using only this pytorch primitive


Check out Fig. 6 in this paper, it shows the comparison between the proposed method and pytorch native FSDP offload method.


Common enough words like `function` and `class` are generally encoded as a single token by the tokenizer and may provide a slightly better context to the LLM. For openai you can test this stuff at https://platform.openai.com/tokenizer


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