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@@ -30,7 +30,7 @@ For more information, visit our GitHub repository.
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  # <span>Usage</span>
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  You can use FineMedLM in the same way as `Llama-3.1-8B-Instruct`:
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- (⚠️**Note**: Please use the system prompt we provide to achieve better reasoning results)
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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@@ -38,7 +38,6 @@ main_model_name = "hongzhouyu/FineMedLM"
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  model = AutoModelForCausalLM.from_pretrained(main_model_name, device_map="auto")
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  tokenizer = AutoTokenizer.from_pretrained(main_model_name)
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- # 构造输入
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  prompt = (
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  """The following are multiple choice questions (with answers) about health. Think step by step and then finish your answer with "the answer is (X)" where X is the correct letter choice.
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  # <span>Usage</span>
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  You can use FineMedLM in the same way as `Llama-3.1-8B-Instruct`:
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+ (⚠️**Note**: Please use the system prompt we provide to achieve better inference results)
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  model = AutoModelForCausalLM.from_pretrained(main_model_name, device_map="auto")
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  tokenizer = AutoTokenizer.from_pretrained(main_model_name)
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  prompt = (
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  """The following are multiple choice questions (with answers) about health. Think step by step and then finish your answer with "the answer is (X)" where X is the correct letter choice.
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