curl --request POST \
  --url https://api.tokenfactory.nebius.com/v1/fine_tuning/jobs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "training_file": "<string>",
  "from_checkpoint": {
    "repo": "<string>",
    "type": "hf",
    "revision": "<string>",
    "token": "<string>"
  },
  "validation_file": "file_123456",
  "hyperparameters": {
    "batch_size": 8,
    "learning_rate": 0.00001,
    "n_epochs": 3,
    "warmup_ratio": 0,
    "weight_decay": 0,
    "packing": true,
    "max_grad_norm": 1,
    "context_length": 8192,
    "lora": false,
    "lora_r": 8,
    "lora_alpha": 8,
    "lora_dropout": 0
  },
  "method": {
    "supervised": {
      "hyperparameters": {
        "batch_size": 8,
        "learning_rate": 0.00001,
        "n_epochs": 3,
        "warmup_ratio": 0,
        "weight_decay": 0,
        "packing": true,
        "max_grad_norm": 1,
        "context_length": 8192,
        "lora": false,
        "lora_r": 8,
        "lora_alpha": 8,
        "lora_dropout": 0
      }
    },
    "type": "supervised"
  },
  "integrations": [
    {
      "wandb": {
        "project": "<string>",
        "api_key": "<string>",
        "name": "<string>",
        "entity": "<string>",
        "tags": [
          "<string>"
        ]
      },
      "type": "wandb"
    }
  ],
  "seed": 42,
  "suffix": "<string>",
  "tags": "my-ft-job",
  "extra_body": {}
}
'

import requests

url = "https://api.tokenfactory.nebius.com/v1/fine_tuning/jobs"

payload = {
    "model": "<string>",
    "training_file": "<string>",
    "from_checkpoint": {
        "repo": "<string>",
        "type": "hf",
        "revision": "<string>",
        "token": "<string>"
    },
    "validation_file": "file_123456",
    "hyperparameters": {
        "batch_size": 8,
        "learning_rate": 0.00001,
        "n_epochs": 3,
        "warmup_ratio": 0,
        "weight_decay": 0,
        "packing": True,
        "max_grad_norm": 1,
        "context_length": 8192,
        "lora": False,
        "lora_r": 8,
        "lora_alpha": 8,
        "lora_dropout": 0
    },
    "method": {
        "supervised": { "hyperparameters": {
                "batch_size": 8,
                "learning_rate": 0.00001,
                "n_epochs": 3,
                "warmup_ratio": 0,
                "weight_decay": 0,
                "packing": True,
                "max_grad_norm": 1,
                "context_length": 8192,
                "lora": False,
                "lora_r": 8,
                "lora_alpha": 8,
                "lora_dropout": 0
            } },
        "type": "supervised"
    },
    "integrations": [
        {
            "wandb": {
                "project": "<string>",
                "api_key": "<string>",
                "name": "<string>",
                "entity": "<string>",
                "tags": ["<string>"]
            },
            "type": "wandb"
        }
    ],
    "seed": 42,
    "suffix": "<string>",
    "tags": "my-ft-job",
    "extra_body": {}
}
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({
    model: '<string>',
    training_file: '<string>',
    from_checkpoint: {repo: '<string>', type: 'hf', revision: '<string>', token: '<string>'},
    validation_file: 'file_123456',
    hyperparameters: {
      batch_size: 8,
      learning_rate: 0.00001,
      n_epochs: 3,
      warmup_ratio: 0,
      weight_decay: 0,
      packing: true,
      max_grad_norm: 1,
      context_length: 8192,
      lora: false,
      lora_r: 8,
      lora_alpha: 8,
      lora_dropout: 0
    },
    method: {
      supervised: {
        hyperparameters: {
          batch_size: 8,
          learning_rate: 0.00001,
          n_epochs: 3,
          warmup_ratio: 0,
          weight_decay: 0,
          packing: true,
          max_grad_norm: 1,
          context_length: 8192,
          lora: false,
          lora_r: 8,
          lora_alpha: 8,
          lora_dropout: 0
        }
      },
      type: 'supervised'
    },
    integrations: [
      {
        wandb: {
          project: '<string>',
          api_key: '<string>',
          name: '<string>',
          entity: '<string>',
          tags: ['<string>']
        },
        type: 'wandb'
      }
    ],
    seed: 42,
    suffix: '<string>',
    tags: 'my-ft-job',
    extra_body: {}
  })
};

fetch('https://api.tokenfactory.nebius.com/v1/fine_tuning/jobs', 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://api.tokenfactory.nebius.com/v1/fine_tuning/jobs",
  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([
    'model' => '<string>',
    'training_file' => '<string>',
    'from_checkpoint' => [
        'repo' => '<string>',
        'type' => 'hf',
        'revision' => '<string>',
        'token' => '<string>'
    ],
    'validation_file' => 'file_123456',
    'hyperparameters' => [
        'batch_size' => 8,
        'learning_rate' => 0.00001,
        'n_epochs' => 3,
        'warmup_ratio' => 0,
        'weight_decay' => 0,
        'packing' => true,
        'max_grad_norm' => 1,
        'context_length' => 8192,
        'lora' => false,
        'lora_r' => 8,
        'lora_alpha' => 8,
        'lora_dropout' => 0
    ],
    'method' => [
        'supervised' => [
                'hyperparameters' => [
                                'batch_size' => 8,
                                'learning_rate' => 0.00001,
                                'n_epochs' => 3,
                                'warmup_ratio' => 0,
                                'weight_decay' => 0,
                                'packing' => true,
                                'max_grad_norm' => 1,
                                'context_length' => 8192,
                                'lora' => false,
                                'lora_r' => 8,
                                'lora_alpha' => 8,
                                'lora_dropout' => 0
                ]
        ],
        'type' => 'supervised'
    ],
    'integrations' => [
        [
                'wandb' => [
                                'project' => '<string>',
                                'api_key' => '<string>',
                                'name' => '<string>',
                                'entity' => '<string>',
                                'tags' => [
                                                                '<string>'
                                ]
                ],
                'type' => 'wandb'
        ]
    ],
    'seed' => 42,
    'suffix' => '<string>',
    'tags' => 'my-ft-job',
    'extra_body' => [
        
    ]
  ]),
  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://api.tokenfactory.nebius.com/v1/fine_tuning/jobs"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"training_file\": \"<string>\",\n  \"from_checkpoint\": {\n    \"repo\": \"<string>\",\n    \"type\": \"hf\",\n    \"revision\": \"<string>\",\n    \"token\": \"<string>\"\n  },\n  \"validation_file\": \"file_123456\",\n  \"hyperparameters\": {\n    \"batch_size\": 8,\n    \"learning_rate\": 0.00001,\n    \"n_epochs\": 3,\n    \"warmup_ratio\": 0,\n    \"weight_decay\": 0,\n    \"packing\": true,\n    \"max_grad_norm\": 1,\n    \"context_length\": 8192,\n    \"lora\": false,\n    \"lora_r\": 8,\n    \"lora_alpha\": 8,\n    \"lora_dropout\": 0\n  },\n  \"method\": {\n    \"supervised\": {\n      \"hyperparameters\": {\n        \"batch_size\": 8,\n        \"learning_rate\": 0.00001,\n        \"n_epochs\": 3,\n        \"warmup_ratio\": 0,\n        \"weight_decay\": 0,\n        \"packing\": true,\n        \"max_grad_norm\": 1,\n        \"context_length\": 8192,\n        \"lora\": false,\n        \"lora_r\": 8,\n        \"lora_alpha\": 8,\n        \"lora_dropout\": 0\n      }\n    },\n    \"type\": \"supervised\"\n  },\n  \"integrations\": [\n    {\n      \"wandb\": {\n        \"project\": \"<string>\",\n        \"api_key\": \"<string>\",\n        \"name\": \"<string>\",\n        \"entity\": \"<string>\",\n        \"tags\": [\n          \"<string>\"\n        ]\n      },\n      \"type\": \"wandb\"\n    }\n  ],\n  \"seed\": 42,\n  \"suffix\": \"<string>\",\n  \"tags\": \"my-ft-job\",\n  \"extra_body\": {}\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://api.tokenfactory.nebius.com/v1/fine_tuning/jobs")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"training_file\": \"<string>\",\n  \"from_checkpoint\": {\n    \"repo\": \"<string>\",\n    \"type\": \"hf\",\n    \"revision\": \"<string>\",\n    \"token\": \"<string>\"\n  },\n  \"validation_file\": \"file_123456\",\n  \"hyperparameters\": {\n    \"batch_size\": 8,\n    \"learning_rate\": 0.00001,\n    \"n_epochs\": 3,\n    \"warmup_ratio\": 0,\n    \"weight_decay\": 0,\n    \"packing\": true,\n    \"max_grad_norm\": 1,\n    \"context_length\": 8192,\n    \"lora\": false,\n    \"lora_r\": 8,\n    \"lora_alpha\": 8,\n    \"lora_dropout\": 0\n  },\n  \"method\": {\n    \"supervised\": {\n      \"hyperparameters\": {\n        \"batch_size\": 8,\n        \"learning_rate\": 0.00001,\n        \"n_epochs\": 3,\n        \"warmup_ratio\": 0,\n        \"weight_decay\": 0,\n        \"packing\": true,\n        \"max_grad_norm\": 1,\n        \"context_length\": 8192,\n        \"lora\": false,\n        \"lora_r\": 8,\n        \"lora_alpha\": 8,\n        \"lora_dropout\": 0\n      }\n    },\n    \"type\": \"supervised\"\n  },\n  \"integrations\": [\n    {\n      \"wandb\": {\n        \"project\": \"<string>\",\n        \"api_key\": \"<string>\",\n        \"name\": \"<string>\",\n        \"entity\": \"<string>\",\n        \"tags\": [\n          \"<string>\"\n        ]\n      },\n      \"type\": \"wandb\"\n    }\n  ],\n  \"seed\": 42,\n  \"suffix\": \"<string>\",\n  \"tags\": \"my-ft-job\",\n  \"extra_body\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tokenfactory.nebius.com/v1/fine_tuning/jobs")

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  \"model\": \"<string>\",\n  \"training_file\": \"<string>\",\n  \"from_checkpoint\": {\n    \"repo\": \"<string>\",\n    \"type\": \"hf\",\n    \"revision\": \"<string>\",\n    \"token\": \"<string>\"\n  },\n  \"validation_file\": \"file_123456\",\n  \"hyperparameters\": {\n    \"batch_size\": 8,\n    \"learning_rate\": 0.00001,\n    \"n_epochs\": 3,\n    \"warmup_ratio\": 0,\n    \"weight_decay\": 0,\n    \"packing\": true,\n    \"max_grad_norm\": 1,\n    \"context_length\": 8192,\n    \"lora\": false,\n    \"lora_r\": 8,\n    \"lora_alpha\": 8,\n    \"lora_dropout\": 0\n  },\n  \"method\": {\n    \"supervised\": {\n      \"hyperparameters\": {\n        \"batch_size\": 8,\n        \"learning_rate\": 0.00001,\n        \"n_epochs\": 3,\n        \"warmup_ratio\": 0,\n        \"weight_decay\": 0,\n        \"packing\": true,\n        \"max_grad_norm\": 1,\n        \"context_length\": 8192,\n        \"lora\": false,\n        \"lora_r\": 8,\n        \"lora_alpha\": 8,\n        \"lora_dropout\": 0\n      }\n    },\n    \"type\": \"supervised\"\n  },\n  \"integrations\": [\n    {\n      \"wandb\": {\n        \"project\": \"<string>\",\n        \"api_key\": \"<string>\",\n        \"name\": \"<string>\",\n        \"entity\": \"<string>\",\n        \"tags\": [\n          \"<string>\"\n        ]\n      },\n      \"type\": \"wandb\"\n    }\n  ],\n  \"seed\": 42,\n  \"suffix\": \"<string>\",\n  \"tags\": \"my-ft-job\",\n  \"extra_body\": {}\n}"

response = http.request(request)
puts response.read_body

{
  "id": "<string>",
  "created_at": 123,
  "model": "<string>",
  "training_file": "<string>",
  "error": {
    "code": "<string>",
    "message": "<string>",
    "param": "<string>"
  },
  "finished_at": 123,
  "hyperparameters": {
    "batch_size": 8,
    "learning_rate": 0.00001,
    "n_epochs": 3,
    "warmup_ratio": 0,
    "weight_decay": 0,
    "packing": true,
    "max_grad_norm": 1,
    "context_length": 8192,
    "lora": false,
    "lora_r": 8,
    "lora_alpha": 8,
    "lora_dropout": 0
  },
  "method": {
    "supervised": {
      "hyperparameters": {
        "batch_size": 8,
        "learning_rate": 0.00001,
        "n_epochs": 3,
        "warmup_ratio": 0,
        "weight_decay": 0,
        "packing": true,
        "max_grad_norm": 1,
        "context_length": 8192,
        "lora": false,
        "lora_r": 8,
        "lora_alpha": 8,
        "lora_dropout": 0
      }
    },
    "type": "supervised"
  },
  "integrations": [
    {
      "wandb": {
        "project": "<string>",
        "name": "<string>",
        "entity": "<string>",
        "tags": [
          "<string>"
        ]
      },
      "type": "wandb"
    }
  ],
  "from_checkpoint": {
    "repo": "<string>",
    "type": "hf",
    "revision": "<string>"
  },
  "object": "fine_tuning.job",
  "organization_id": "",
  "result_files": [],
  "seed": 0,
  "suffix": "<string>",
  "trained_tokens": 123,
  "validation_file": "<string>",
  "estimated_finish": 123,
  "trained_steps": 123,
  "total_steps": 123
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}