b827f534d5
* fix low-bit * fix * fix style --------- Co-authored-by: arda <arda@arda-arc12.sh.intel.com>
60 lines
No EOL
2.1 KiB
Python
60 lines
No EOL
2.1 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 argparse
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from ipex_llm.langchain.llms import TransformersLLM, TransformersPipelineLLM
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from langchain import PromptTemplate, LLMChain
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from langchain import HuggingFacePipeline
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def main(args):
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question = args.question
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model_path = args.model_path
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low_bit_model_path = args.target_path
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template ="""{question}"""
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prompt = PromptTemplate(template=template, input_variables=["question"])
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llm = TransformersLLM.from_model_id(
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model_id=model_path,
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model_kwargs={"temperature": 0, "max_length": 64, "trust_remote_code": True},
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)
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llm.model.save_low_bit(low_bit_model_path)
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del llm
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low_bit_llm = TransformersLLM.from_model_id_low_bit(
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model_id=low_bit_model_path,
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tokenizer_id=model_path,
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model_kwargs={"temperature": 0, "max_length": 64, "trust_remote_code": True}
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)
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llm_chain = LLMChain(prompt=prompt, llm=low_bit_llm)
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output = llm_chain.run(question)
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print("====output=====")
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print(output)
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='TransformersLLM Langchain Chat Example')
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parser.add_argument('-m','--model-path', type=str, required=True,
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help='the path to transformers model')
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parser.add_argument('-t','--target-path',type=str,required=True,
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help='the path to save the low bit model')
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parser.add_argument('-q', '--question', type=str, default='What is AI?',
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help='qustion you want to ask.')
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args = parser.parse_args()
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main(args) |