Skip to main content
POST
/
api
/
repos
/
{namespace}
/
{repo_name}
/
fine_tunes
/
{id}
/
checkpoints
/
{step}
/
deploy
Deploy a checkpoint from a fine-tune job
curl --request POST \
  --url https://dev.hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "deployment_type": "normal"
}
'
{
  "deployment_id": "<string>",
  "fine_tune": {
    "base_model": "<string>",
    "created_by": {
      "id": "<string>",
      "image": "<string>",
      "name": "<string>",
      "username": "<string>"
    },
    "credits_used": "<string>",
    "deployed_model": {},
    "description": "<string>",
    "display_name": "<string>",
    "error": "<string>",
    "fine_tune_script": {
      "description": "<string>",
      "display_name": "<string>",
      "docker_image_name": "<string>",
      "fine_tune_schema": {
        "description": "<string>",
        "id": "<string>",
        "name": "<string>",
        "schema": {
          "additionalProperties": true,
          "basic": [
            "<string>"
          ],
          "properties": {},
          "required": [
            "<string>"
          ],
          "type": "<string>"
        }
      },
      "id": "<string>",
      "name": "<string>",
      "script_type": "<string>"
    },
    "finished_at": "<string>",
    "gpu_count": 123,
    "gpu_model": "<string>",
    "id": "<string>",
    "inserted_at": "<string>",
    "last_credit_check": "<string>",
    "name": "<string>",
    "output_resource": {},
    "queue_position": 123,
    "rate_per_second": "<string>",
    "repository_id": "<string>",
    "resource": {
      "path": "<string>",
      "version": "<string>"
    },
    "source_model": {},
    "started_at": "<string>",
    "status": "<string>",
    "total_token_count": 0,
    "training_params": {
      "answer_column": "<string>",
      "batch_size": 123,
      "enable_thinking": true,
      "epochs": 123,
      "grad_accum": 123,
      "learning_rate": 123,
      "logging_steps": 123,
      "lora_alpha": 123,
      "lora_rank": 123,
      "neftune_noise_alpha": 123,
      "question_column": "<string>",
      "save_steps_ratio": 123,
      "save_strategy": "<string>",
      "seq_length": 123,
      "use_lora": true
    },
    "updated_at": "<string>",
    "use_lora": true
  },
  "model": {},
  "status": "<string>",
  "status_message": "<string>"
}

Documentation Index

Fetch the complete documentation index at: https://docs.oxen.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

​
id
string
required

Fine-tune ID

​
step
integer
required

Checkpoint step number

Query Parameters

​
retry
boolean

If true, cleanup the existing deployment and model for this checkpoint before creating a new one.

Body

application/json

Deployment configuration

Request payload to deploy a specific checkpoint from a fine-tune job.

​
deployment_type
enum<string>
default:normal

Deployment type: 'fast' for faster inference instances, 'normal' for standard instances.

Available options:
fast,
normal

Response

Deployment created response

Standard wrapper for checkpoint deployment responses.

​
deployment_id
string

ID of the created Baseten deployment.

​
fine_tune
FineTuneRun · object

Fine-tune job the deployed checkpoint belongs to.

​
model
object

Model record created for this checkpoint deployment.

​
status
string

High-level status string (for example, 'success').

​
status_message
string

Human-readable status message (for example, 'resource_found').