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43 lines
994 B
Python
43 lines
994 B
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import torch
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from transformers import (
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AutoTokenizer,
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AutoModelForCausalLM,
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)
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from fastchat.serve.compression import compress_module
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class ModerLoader:
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kwargs = {}
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def __init__(self,
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model_path) -> None:
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self.device = "cuda" if torch.cuda.is_available() else "cpu"
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self.model_path = model_path
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self.kwargs = {
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"torch_dtype": torch.float16,
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"device_map": "auto",
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}
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def loader(self, load_8bit=False, debug=False):
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tokenizer = AutoTokenizer.from_pretrained(self.model_path, use_fast=False)
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model = AutoModelForCausalLM.from_pretrained(self.model_path, low_cpu_mem_usage=True, **self.kwargs)
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if debug:
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print(model)
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if load_8bit:
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compress_module(model, self.device)
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# if self.device == "cuda":
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# model.to(self.device)
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return model, tokenizer
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