mirror of
https://github.com/csunny/DB-GPT.git
synced 2025-09-29 05:18:47 +00:00
68 lines
1.9 KiB
Python
68 lines
1.9 KiB
Python
#!/usr/bin/env python3
|
|
# -*- coding: utf-8 -*-
|
|
|
|
import torch
|
|
from transformers import (
|
|
AutoTokenizer,
|
|
AutoModelForCausalLM,
|
|
AutoModel
|
|
)
|
|
|
|
from fastchat.serve.compression import compress_module
|
|
|
|
class ModelLoader:
|
|
"""Model loader is a class for model load
|
|
|
|
Args: model_path
|
|
|
|
"""
|
|
|
|
kwargs = {}
|
|
|
|
def __init__(self,
|
|
model_path) -> None:
|
|
|
|
self.device = "cuda" if torch.cuda.is_available() else "cpu"
|
|
self.model_path = model_path
|
|
self.kwargs = {
|
|
"torch_dtype": torch.float16,
|
|
"device_map": "auto",
|
|
}
|
|
|
|
def loader(self, num_gpus, load_8bit=False, debug=False):
|
|
if self.device == "cpu":
|
|
kwargs = {}
|
|
elif self.device == "cuda":
|
|
kwargs = {"torch_dtype": torch.float16}
|
|
if num_gpus == "auto":
|
|
kwargs["device_map"] = "auto"
|
|
else:
|
|
num_gpus = int(num_gpus)
|
|
if num_gpus != 1:
|
|
kwargs.update({
|
|
"device_map": "auto",
|
|
"max_memory": {i: "13GiB" for i in range(num_gpus)},
|
|
})
|
|
else:
|
|
raise ValueError(f"Invalid device: {self.device}")
|
|
|
|
if "chatglm" in self.model_path:
|
|
tokenizer = AutoTokenizer.from_pretrained(self.model_path, trust_remote_code=True)
|
|
model = AutoModel.from_pretrained(self.model_path, trust_remote_code=True).half().cuda()
|
|
else:
|
|
tokenizer = AutoTokenizer.from_pretrained(self.model_path, use_fast=False)
|
|
model = AutoModelForCausalLM.from_pretrained(self.model_path,
|
|
low_cpu_mem_usage=True, **kwargs)
|
|
|
|
if load_8bit:
|
|
compress_module(model, self.device)
|
|
|
|
if (self.device == "cuda" and num_gpus == 1):
|
|
model.to(self.device)
|
|
|
|
if debug:
|
|
print(model)
|
|
|
|
return model, tokenizer
|
|
|