# Update Model

Update a model's name and description. Other model attributes such as training version and dataset cannot be modified after creation.

Endpoint: PUT /tailored-gen/models/{model_id}

## Path parameters:

  - `model_id` (integer, required)
    Model ID

## Header parameters:

  - `api_token` (string, required)

## Request fields (application/json):

  - `name` (string)
    New model name (optional)

  - `description` (string)
    New model description (optional)

## Response 200 fields (application/json):

  - `id` (integer)
    Unique identifier for the model

  - `name` (string)
    Name of the model

  - `description` (string)
    Description of the model

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

  - `training_version` (string)
    Training version
    Enum: "light", "max"

  - `generation_prefix` (string)
    Text drawn from the dataset's caption_prefix that is automatically prepended to generation prompts to maintain consistency. It matches the dataset's caption_prefix. It can be bypassed during generation by setting include_generation_prefix=false.

  - `project_id` (integer)
    ID of the project this model belongs to

  - `dataset_id` (integer)
    ID of the dataset used for training

  - `created_at` (string)
    Timestamp when the model was created