def generate_response(self, prompt: str, num_copies: int = 2) -> List[str]:
        """
        Generate responses from the model based on the provided prompt, duplicated to form a batch.

        Parameters:
        - prompt (str): The input prompt to generate responses for.
        - num_copies (int): The number of copies of the prompt to create for batch processing (default is 16).

        Returns:
        - List[str]: A list of generated responses, each corresponding to a duplicate of the input prompt.
        """
        if self.model_type == "hf":
            return self._generate_response_hf(prompt, num_copies)
        elif self.model_type == "vllm":
            return self._generate_response_vllm(prompt, num_copies)
        else:
            raise ValueError("Unsupported model_type. Choose 'hf' for Hugging Face or 'vllm'.")

        Generate responses from the model based on the provided prompt, duplicated to form a batch.

        Parameters:
        - prompt (str): The input prompt to generate responses for.
        - num_copies (int): The number of copies of the prompt to create for batch processing (default is 16).

        Returns:
        - List[str]: A list of generated responses, each corresponding to a duplicate of the input prompt.
        
data/omegaPRM_v2/llm_utils.py