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ModelScopeConfig

class ModelScopeConfig(BaseConfig):
Defines the parameters for generating chat completions using the ModelScope API. You can refer to the following link for more details: https://www.modelscope.cn/docs/model-service/API-Inference/intro Parameters:
  • 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" or specifying a particular tool via {"type": "function", "function": {"name": "some_function"}} can be used to guide the model to use tools more strongly. (default: :obj:None)
  • max_tokens (int, optional): Specifies the maximum number of tokens the model can generate. This sets an upper limit, but does not guarantee that this number will always be reached. (default: :obj:None)
  • top_p (float, optional): Controls the randomness of the generated results. Lower values lead to less randomness, while higher values increase randomness. (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:0.3)
  • stream (bool, optional): If True, enables streaming output. (default: :obj:None)
  • extra_body (dict, optional): Extra body parameters to be passed to the ModelScope API.