add support for AutoModelForCausalLM#from_pretrained()'s device_map='auto'. support gradient checkpointing, probably. add lots of type hints so I could understand what's going on. multiline long method signatures/calls (for easier comparison between checkpointed/non-checkpointed variants, and because these lines got even longer when I added type hints). make MPTForCausalLM#forward accept additional kwargs, since PeftModelForCausalLM#forward tries to send it an argument inputs_embeds=None, which it didn't like too much.

updt flash_attn_triton import (#12)

add flash_attn_triton.py (#9)

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Remove print about meta init (#2)

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Add loss function and bool cast

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