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 | |
|---|---|---|---|---|---|---|---|---|
| Qwen/Qwen3-VL-2B-Instruct | ox-thoughtless-rose-anaconda | (c98ddc)test.parquet | Failed | Not Deployed | ox | 1 month ago | ||
| Qwen/Qwen3-VL-2B-Instruct | ox-double-yellow-wombat | (c98ddc)test.parquet | Failed | Not Deployed | ox | 1 month ago | ||
| Qwen/Qwen3-VL-2B-Instruct | ox-bold-orange-bass | (c98ddc)test.parquet | Failed | Not Deployed | ox | 1 month ago | ||
| Qwen/Qwen3-VL-2B-Instruct | ox-victorious-amber-zebra | (c98ddc)test.parquet | Failed | Not Deployed | ox | 2 months ago | ||
| Qwen/Qwen3-VL-8B-Instruct | ox-lost-bronze-impala | (c98ddc)train.parquet | Failed | Not Deployed | ox | 2 months ago |