45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
#
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# Copyright 2016 The BigDL Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import torch
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import time
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import argparse
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# load Hugging Face Transformers model with INT4 optimizations
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from ipex_llm.transformers import AutoModelForCausalLM
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from transformers import AutoTokenizer
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='Predict Tokens using `generate()` API for ChatGLM2 model')
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parser.add_argument('--model-path', type=str, default="THUDM/chatglm2-6b",
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help='The original model path')
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parser.add_argument('--save-path', type=str, default="./",
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help='The converted model save path')
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args = parser.parse_args()
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model_path = args.model_path
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save_path = args.save_path
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model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True, load_in_4bit=True)
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# Load tokenizer
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tokenizer = AutoTokenizer.from_pretrained(model_path,
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trust_remote_code=True)
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# save model with INT4 optimizations
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model.save_low_bit(save_path)
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tokenizer.save_pretrained(save_path)
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