---
title: "Create Model"
method: POST
path: "/tailored-gen/models"
tags: ["Model"]
---

# Create Model

`POST /tailored-gen/models`

Create a new model.

## Headers

- `api_token` string, required

## Request body

- object
  - `name` string — Name of the model (required)
  - `dataset_id` integer — ID of the dataset to use (required)
  - `training_mode` 'fully_automated' | 'expert' — Defines the training configuration strategy. * `fully_automated`: Automatically configures the training recipe based on dataset size and IP medium/type. * `expert`: For experienced users needing control over training parameters.
  - `description` string — Description of the model (optional)

## Response `201`

Model successfully created

- object
  - `id` integer
  - `name` string
  - `description` string
  - `status` 'Created'
  - `training_mode` 'fully_automated' | 'expert'
  - `project_id` integer
  - `dataset_id` integer
  - `created_at` string, date-time
  - `updated_at` string, date-time
  - `active_model_version` string
  - `training_parameters` object
  - `checkpoint_steps` string[]

## Other responses

- `400` — Bad request - validation error
- `401` — Unauthorized
- `403` — Forbidden
- `404` — Dataset not found
- `429` — Request limit exceeded.
- `500` — Internal server error

---

[API](https://skmtc.net/bria-ai/apis/tailored-generation-api-reference.md) · [All operations](https://skmtc.net/bria-ai/apis/tailored-generation-api-reference/llms.txt) · [OpenAPI document](https://skmtc-service-staging.skmtc.workers.dev/v1/apis/bria-ai/tailored-generation-api-reference/revisions/806c6d31631b/schema)