On Oxen.ai, fine-tuning is as easy as uploading your dataset, selecting a model, and kicking off a job. The dataset can be any of the supported tabular file formats such as csv, tsv, json, or parquet. Learn more about fine-tuning in our developer docs.
Existing fine-tunes
6| ID | Base Model | Model Name | Display Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|---|
| Qwen/Qwen-Image-Edit-2509 | 4979a50dtrain.parquet | Stopped | Not Deployed | ox | 2 months ago | ||||
| meta-llama/Llama-3.2-1B-Instruct | 4979a50dtrain.parquet | Success | Not Deployed | ox | 2 months ago | ||||
| Qwen/Qwen-Image-Edit | 4979a50dtrain.parquet | Success | Not Deployed | ox | 2 months ago | ||||
| Qwen/Qwen-Image-Edit | ox-parental-peach-ox | 4979a50dtrain.parquet | Success | Deploy Failed | ox | 3 months ago | |||
| Qwen/Qwen-Image-Edit | dc9da312train.parquet | Success | Not Deployed | ox | 3 months ago | ||||
| Qwen/Qwen-Image-Edit | bc66bf1atrain.parquet | Success | Not Deployed | ox | 3 months ago |