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from transformers import AutoConfig | |
def auto_upgrade(config): | |
cfg = AutoConfig.from_pretrained(config) | |
if 'llava' in config and 'llava' not in cfg.model_type: | |
assert cfg.model_type == 'llama' | |
print("You are using newer LLaVA code base, while the checkpoint of v0 is from older code base.") | |
print("You must upgrade the checkpoint to the new code base (this can be done automatically).") | |
confirm = input("Please confirm that you want to upgrade the checkpoint. [Y/N]") | |
if confirm.lower() in ["y", "yes"]: | |
print("Upgrading checkpoint...") | |
assert len(cfg.architectures) == 1 | |
setattr(cfg.__class__, "model_type", "llava") | |
cfg.architectures[0] = 'LlavaLlamaForCausalLM' | |
cfg.save_pretrained(config) | |
print("Checkpoint upgraded.") | |
else: | |
print("Checkpoint upgrade aborted.") | |
exit(1) | |