# Get Models

Retrieve a list of models. If there are no models, an empty array is returned.

Endpoint: GET /tailored-gen/models

## Header parameters:

  - `api_token` (string, required)

## Query parameters:

  - `include_training_parameters` (boolean)
    If true, includes detailed training parameters and checkpoint steps.

## Response 200 fields (application/json):

  - `id` (integer)

  - `name` (string)

  - `description` (string)

  - `status` (string)
    Enum: "Created", "InProgress", "Completed", "Failed", "Stopping", "Stopped"

  - `training_mode` (string)
    Enum: "fully_automated", "expert"

  - `active_model_version` (string)

  - `training_parameters` (object)

  - `training_parameters.learning_rate` (number)

  - `training_parameters.lr_scheduler` (string)

  - `training_parameters.rank` (integer)

  - `training_parameters.total_training_steps` (integer)

  - `training_parameters.checkpoint_interval` (integer)

  - `training_parameters.lr_warmup_steps` (integer,null)

  - `checkpoint_steps` (array)

  - `project_id` (integer)

  - `dataset_id` (integer)

  - `created_at` (string)


## Response 401 fields

## Response 403 fields

## Response 429 fields

## Response 500 fields