# 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-lab/tinker/api-reference/types/modeldata/)_) – 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.thinking-machines-lab/tinker/api-reference/trainingclient/#get_info)