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
5| ID | Base Model | Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|
| black-forest-labs/FLUX.2-dev | ox-obvious-harlequin-albatross | (d1e476)train.parquet | Success | Not Deployed | ox | 1 week ago | ||
| black-forest-labs/FLUX.2-dev | ox-ministerial-silver-cougar | (d1e476)train.parquet | Success | Not Deployed | ox | 2 months ago | ||
| Wan-AI/Wan2.2-T2V-A14B-Diffusers | ox-handicapped-lime-ladybug | (8c4def)train.parquet | Success | Sleeping | ox | 3 months ago | ||
| Qwen/Qwen-Image | ox-independent-gray-dragon | (8c4def)train.parquet | Success | Not Deployed | ox | 3 months ago | ||
| Wan-AI/Wan2.2-T2V-A14B-Diffusers | ox-shrill-purple-raccoon | (985c4e)train.parquet | Success | Not Deployed | ox | 3 months ago |