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
3| ID | Base Model | Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|
| Wan-AI/Wan2.1-T2V-14B-Diffusers | ox-complicated-coffee-baboon | (61d57b)EdditMurphyDeliriousUpres_v01.parquet | Success | Sleeping | ox | 4 months ago | ||
| Wan-AI/Wan2.1-T2V-14B-Diffusers | ox-large-amber-owl | (9baf6e)train.parquet | Success | Not Deployed | ox | 4 months ago | ||
| Wan-AI/Wan2.2-T2V-A14B-Diffusers | ox-improved-rose-falcon | (9baf6e)train.parquet | Success | Not Deployed | ox | 4 months ago |