mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-22 16:17:57 +01:00
31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
from pathlib import Path
|
|
|
|
import modules.shared as shared
|
|
from modules.models import load_model
|
|
|
|
|
|
def add_lora_to_model(lora_name):
|
|
|
|
from peft import PeftModel
|
|
|
|
# Is there a more efficient way of returning to the base model?
|
|
if lora_name == "None":
|
|
print("Reloading the model to remove the LoRA...")
|
|
shared.model, shared.tokenizer = load_model(shared.model_name)
|
|
else:
|
|
print(f"Adding the LoRA {lora_name} to the model...")
|
|
|
|
params = {}
|
|
if not shared.args.cpu:
|
|
params['dtype'] = shared.model.dtype
|
|
if hasattr(shared.model, "hf_device_map"):
|
|
params['device_map'] = {"base_model.model."+k: v for k, v in shared.model.hf_device_map.items()}
|
|
elif shared.args.load_in_8bit:
|
|
params['device_map'] = {'': 0}
|
|
|
|
shared.model = PeftModel.from_pretrained(shared.model, Path(f"loras/{lora_name}"), **params)
|
|
if not shared.args.load_in_8bit and not shared.args.cpu:
|
|
shared.model.half()
|
|
if not hasattr(shared.model, "hf_device_map"):
|
|
shared.model.cuda()
|