text-generation-webui/modules/AutoGPTQ_loader.py
2023-05-17 11:16:37 -03:00

42 lines
1.4 KiB
Python

import logging
from pathlib import Path
from auto_gptq import AutoGPTQForCausalLM
import modules.shared as shared
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
found_pts = list(path_to_model.glob("*.pt"))
found_safetensors = list(path_to_model.glob("*.safetensors"))
if len(found_safetensors) > 0:
if len(found_safetensors) > 1:
logging.warning('More than one .safetensors model has been found. The last one will be selected. It could be wrong.')
use_safetensors = True
pt_path = found_safetensors[-1]
elif len(found_pts) > 0:
if len(found_pts) > 1:
logging.warning('More than one .pt model has been found. The last one will be selected. It could be wrong.')
pt_path = found_pts[-1]
# 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()
}
logging.warning(f"The AutoGPTQ params are: {params}")
model = AutoGPTQForCausalLM.from_quantized(path_to_model, **params)
return model