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 | Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|
| Qwen/Qwen-Image-Edit-2509 | ox-internal-ivory-crocodile | (4979a5)train.parquet | Stopped | Not Deployed | ox | 4 months ago | ||
| meta-llama/Llama-3.2-1B-Instruct | ox-whole-rose-gull | (4979a5)train.parquet | Success | Not Deployed | ox | 4 months ago | ||
| Qwen/Qwen-Image-Edit | ox-junior-pink-rodent | (4979a5)train.parquet | Success | Not Deployed | ox | 4 months ago | ||
| Qwen/Qwen-Image-Edit | ox-parental-peach-ox | (4979a5)train.parquet | Success | Deploy Failed | ox | 5 months ago | ||
| Qwen/Qwen-Image-Edit | ox-agreed-green-chimpanzee | (dc9da3)train.parquet | Success | Not Deployed | ox | 5 months ago | ||
| Qwen/Qwen-Image-Edit | ox-local-aquamarine-wren | (bc66bf)train.parquet | Success | Not Deployed | ox | 5 months ago |