text-generation-webui/modules/AutoGPTQ_loader.py

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from pathlib import Path
from auto_gptq import AutoGPTQForCausalLM
import modules.shared as shared
from modules.logging_colors import logger
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from modules.models import get_max_memory_dict
def load_quantized(model_name):
path_to_model = Path(f'{shared.args.model_dir}/{model_name}')
pt_path = None
use_safetensors = False
# Find the model checkpoint
for ext in ['.safetensors', '.pt', '.bin']:
found = list(path_to_model.glob(f"*{ext}"))
if len(found) > 0:
if len(found) > 1:
logger.warning(f'More than one {ext} model has been found. The last one will be selected. It could be wrong.')
pt_path = found[-1]
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if ext == '.safetensors':
use_safetensors = True
break
if pt_path is None:
logger.error("The model could not be loaded because its checkpoint file in .bin/.pt/.safetensors format could not be located.")
return
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# Define the params for AutoGPTQForCausalLM.from_quantized
params = {
'model_basename': pt_path.stem,
'device': "cuda:0" if not shared.args.cpu else "cpu",
'use_triton': shared.args.triton,
'use_safetensors': use_safetensors,
'max_memory': get_max_memory_dict()
}
logger.warning(f"The AutoGPTQ params are: {params}")
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model = AutoGPTQForCausalLM.from_quantized(path_to_model, **params)
return model