curl --request POST \
  --url https://training-suite.simplismart.ai/api/llm/train/ \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form 'training_config_json={
  "model_type": "vlm",
  "base_model": "AIDC-AI/Ovis1.6-Llama3.2-3B",
  "adapter": {
    "lora_r": 16
  },
  "quantization": {
    "bits": 4,
    "llm_int8_threshold": 6,
    "llm_int8_has_fp16_weight": false,
    "bnb_4bit_compute_dtype": "float16",
    "bnb_4bit_use_double_quant": true,
    "bnb_4bit_quant_type": "nf4"
  },
  "trainer": {
    "type": "finetune",
    "learning_rate": 0.0001,
    "batch_size": 1,
    "epochs": 1,
    "gradient_accumulation_steps": 16,
    "logging_steps": 1
  },
  "image_column": "url",
  "output_column": "caption",
  "prompt": {
    "template": "Could you please interpret the image and write a detailed caption?"
  }
}
' \
  --form experiment_name=my_first_vlm_job \
  --form org=0bf00b43-430a-4ca3-a8b3-b13cc8dc6d4d \
  --form csv_file=@example-file

{
  "request_id": "<string>",
  "status": "<string>",
  "message": "<string>"
}