​
InternLMConfig

class InternLMConfig(BaseConfig):
Defines the parameters for generating chat completions using the InternLM API. You can refer to the following link for more details: https://internlm.intern-ai.org.cn/api/document Parameters:
  • stream (bool, optional): Whether to stream the response. (default: :obj:None)
  • temperature (float, optional): Controls the diversity and focus of the generated results. Lower values make the output more focused, while higher values make it more diverse. (default: :obj:None)
  • top_p (float, optional): Controls the diversity and focus of the generated results. Higher values make the output more diverse, while lower values make it more focused. (default: :obj:None)
  • max_tokens (int, optional): Allows the model to generate the maximum number of tokens. (default: :obj:None)
  • tools (list, optional): Specifies an array of tools that the model can call. It can contain one or more tool objects. During a function call process, the model will select one tool from the array. (default: :obj:None)
  • tool_choice (Union[dict[str, str], str], optional): Controls which (if any) tool is called by the model. :obj:"none" means the model will not call any tool and instead generates a message. :obj:"auto" means the model can pick between generating a message or calling one or more tools. :obj:"required" means the model must call one or more tools. Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool. :obj:"none" is the default when no tools are present. :obj:"auto" is the default if tools are present.