# tinker.types.GetInfoResponse

## *class* [**tinker.types.GetInfoResponse**](https://github.com/thinking-machines-lab/tinker/blob/main/src/tinker/types/_pydantic_types/get_info_response.py#L21)(*[BaseModel](https://github.com/thinking-machines-lab/tinker/blob/main/src/tinker/_models.py#L88)*)

Response containing information about a training client's model.

**Fields:**

- [**type**](https://github.com/thinking-machines-lab/tinker/blob/main/src/tinker/types/_pydantic_types/get_info_response.py#L24) (*Optional\[Literal['get_info']\]*) – Response type identifier.
- [**model_data**](https://github.com/thinking-machines-lab/tinker/blob/main/src/tinker/types/_pydantic_types/get_info_response.py#L27) (*[ModelData](https://tinker-docs.thinkingmachines.ai/tinker/api-reference/types/modeldata/index.md)*) – Detailed metadata about the model.
- [**model_id**](https://github.com/thinking-machines-lab/tinker/blob/main/src/tinker/types/_pydantic_types/get_info_response.py#L30) (*[ModelID](https://github.com/thinking-machines-lab/tinker/blob/main/src/tinker/types/model_id.py#L5)*) – Unique identifier for the model.
- [**is_lora**](https://github.com/thinking-machines-lab/tinker/blob/main/src/tinker/types/_pydantic_types/get_info_response.py#L33) (*Optional[bool]*) – Whether this is a LoRA fine-tuned model.
- [**lora_rank**](https://github.com/thinking-machines-lab/tinker/blob/main/src/tinker/types/_pydantic_types/get_info_response.py#L36) (*Optional[int]*) – The rank of the LoRA adaptation, if applicable.
- [**model_name**](https://github.com/thinking-machines-lab/tinker/blob/main/src/tinker/types/_pydantic_types/get_info_response.py#L39) (*Optional[str]*) – The name of the model.

## Referenced by

- [TrainingClient.get_info](https://tinker-docs.thinkingmachines.ai/tinker/api-reference/trainingclient/#get_info)