SUPIR / llava /train /train_mem.py
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# Adopted from https://github.com/lm-sys/FastChat. Below is the original copyright:
# Adopted from tatsu-lab@stanford_alpaca. Below is the original copyright:
# Make it more memory efficient by monkey patching the LLaMA model with FlashAttn.
# Need to call this before importing transformers.
from llava.train.llama_flash_attn_monkey_patch import replace_llama_attn_with_flash_attn
replace_llama_attn_with_flash_attn()
from llava.train.train import train
if __name__ == "__main__":
train()