curl --request POST \
--url https://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"
}
'import requests
url = "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy"
payload = { "deployment_type": "normal" }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({deployment_type: 'normal'})
};
fetch('https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'deployment_type' => 'normal'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy"
payload := strings.NewReader("{\n \"deployment_type\": \"normal\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"deployment_type\": \"normal\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"deployment_type\": \"normal\"\n}"
response = http.request(request)
puts response.read_body{
"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>"
}{}Deploy a checkpoint from a fine-tune job
Deploy a specific training checkpoint to make it available for inference. Pass retry=true to tear down any existing deployment for this checkpoint before creating a new one.
curl --request POST \
--url https://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"
}
'import requests
url = "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy"
payload = { "deployment_type": "normal" }
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({deployment_type: 'normal'})
};
fetch('https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'deployment_type' => 'normal'
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy"
payload := strings.NewReader("{\n \"deployment_type\": \"normal\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"deployment_type\": \"normal\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://hub.oxen.ai/api/repos/{namespace}/{repo_name}/fine_tunes/{id}/checkpoints/{step}/deploy")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"deployment_type\": \"normal\"\n}"
response = http.request(request)
puts response.read_body{
"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>"
}{}Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Query Parameters
If true, cleanup the existing deployment and model for this checkpoint before creating a new one.
Body
Deployment configuration
Request payload to deploy a specific checkpoint from a fine-tune job.
Deployment type: 'fast' for faster inference instances, 'normal' for standard instances.
fast, normal Response
Deployment created response
Standard wrapper for checkpoint deployment responses.
ID of the created Baseten deployment.
Fine-tune job the deployed checkpoint belongs to.
Show child attributes
Show child attributes
Model record created for this checkpoint deployment.
High-level status string (for example, 'success').
Human-readable status message (for example, 'resource_found').