33 lines
787 B
Python
33 lines
787 B
Python
from typing import Union
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import torch
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import torch.nn as nn
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from cacheflow.models.opt import OPTForCausalLM
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MODEL_CLASSES = {
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'opt': OPTForCausalLM,
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}
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STR_DTYPE_TO_TORCH_DTYPE = {
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'half': torch.half,
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'float': torch.float,
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'float16': torch.float16,
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'float32': torch.float32,
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}
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def get_model(
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model_name: str,
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dtype: Union[torch.dtype, str],
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) -> nn.Module:
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if isinstance(dtype, str):
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torch_dtype = STR_DTYPE_TO_TORCH_DTYPE[dtype.lower()]
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else:
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torch_dtype = dtype
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for model_class, hf_model in MODEL_CLASSES.items():
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if model_class in model_name:
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model = hf_model.from_pretrained(model_name, torch_dtype=torch_dtype)
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return model.eval()
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raise ValueError(f'Invalid model name: {model_name}')
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