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Update README.md

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@@ -25,8 +25,6 @@ llm = vllm.LLM(model=model_name,max_model_len=4096)
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  messages = [
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- {"role": "system",
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- "content": "You first thinks about the reasoning process in the mind and then provides the user with the answer while reasoning step by step, and putting the final answer within \\boxed{}.The reasoning process and answer are enclosed within <think> </think> and <answer> </answer> tags, respectively, i.e., <think> reasoning process here </think><answer> answer here </answer>."},
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  {"role": "user", "content": f"早餐喝早餐店的奶茶會導致烙賽為什麼?"},
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  ]
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  prompts = tokenizer.apply_chat_template(
 
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  messages = [
 
 
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  {"role": "user", "content": f"早餐喝早餐店的奶茶會導致烙賽為什麼?"},
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  ]
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  prompts = tokenizer.apply_chat_template(