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27 lines
909 B
Python
27 lines
909 B
Python
from pathlib import Path
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import modules.shared as shared
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from modules.models import load_model
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def add_lora_to_model(lora_name):
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from peft import PeftModel
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# Is there a more efficient way of returning to the base model?
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if lora_name == "None":
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print("Reloading the model to remove the LoRA...")
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shared.model, shared.tokenizer = load_model(shared.model_name)
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else:
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print(f"Adding the LoRA {lora_name} to the model...")
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params = {}
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if shared.args.load_in_8bit:
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params['device_map'] = {'': 0}
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elif not shared.args.cpu:
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params['device_map'] = 'auto'
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params['dtype'] = shared.model.dtype
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shared.model = PeftModel.from_pretrained(shared.model, Path(f"loras/{lora_name}"), **params)
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if not shared.args.load_in_8bit and not shared.args.cpu:
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shared.model.half()
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