## List available base models for training

`autoscientist.list_models()  -> AutoscientistListModelsResponse`

**get** `/api/v1/autoscientist/models`

Returns the set of base models that can be used as the `model` field when creating an AutoScientist run.

### Returns

- `class AutoscientistListModelsResponse: …`

  - `models: List[Model]`

    - `id: str`

      Identifier to pass as `model` when creating a job.

    - `display_name: str`

      Human-readable model name.

    - `model_size: Optional[object]`

      Parameter count label (e.g. "8B", "70B").

    - `context_length: Optional[object]`

      Maximum context window in tokens.

    - `methods: List[str]`

      Training methods supported (e.g. ["sft", "dpo"]).

    - `training_types: List[str]`

      Training types supported (e.g. ["lora", "full"]).

### Example

```python
import os
from adaption import Adaption

client = Adaption(
    api_key=os.environ.get("ADAPTION_API_KEY"),  # This is the default and can be omitted
)
response = client.autoscientist.list_models()
print(response.models)
```

#### Response

```json
{
  "models": [
    {
      "id": "id",
      "display_name": "display_name",
      "model_size": {},
      "context_length": {},
      "methods": [
        "string"
      ],
      "training_types": [
        "string"
      ]
    }
  ]
}
```