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@@ -17,7 +17,8 @@ base_model:
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  ## 🔧 Prompt Format (Chat Template)
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- During RL training and inference, each question is formatted as:
 
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  {question} Please reason step by step, and put your final answer within boxed{}.
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  Then wrapped using the chat template:
@@ -28,8 +29,7 @@ prompt = tokenizer.apply_chat_template(
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  tokenize=False,
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  add_generation_prompt=True,
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  )
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-
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-
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  ## 🧪 Example Usage
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@@ -53,7 +53,7 @@ prompt = tokenizer.apply_chat_template(
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  inputs = tokenizer(prompt, return_tensors="pt")
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  outputs = model.generate(**inputs, max_new_tokens=256)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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-
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  ## 📎 Reference
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  ## 🔧 Prompt Format (Chat Template)
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+ During Inference, each question is formatted as:
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+
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  {question} Please reason step by step, and put your final answer within boxed{}.
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  Then wrapped using the chat template:
 
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  tokenize=False,
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  add_generation_prompt=True,
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  )
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+ ```
 
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  ## 🧪 Example Usage
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  inputs = tokenizer(prompt, return_tensors="pt")
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  outputs = model.generate(**inputs, max_new_tokens=256)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
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  ## 📎 Reference
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