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/Qwen3-0.6B | EloyMartinez-modern-yellow-elephant | (aca9e8)test.parquet | Success | Not Deployed | EloyMartinez | 2 months ago | ||
| Qwen/Qwen3-VL-8B-Instruct | EloyMartinez-zygotic-aquamarine-booby | (aca9e8)test.parquet | Success | Not Deployed | EloyMartinez | 2 months ago | ||
| Qwen/Qwen3-VL-8B-Instruct | EloyMartinez-excited-lime-barracuda | (ab5231)test.parquet | Failed | Not Deployed | EloyMartinez | 2 months ago | ||
| Qwen/Qwen3-VL-8B-Instruct | EloyMartinez-energetic-magenta-chameleon | (79b35f)test.parquet | Failed | Not Deployed | EloyMartinez | 2 months ago | ||
| Qwen/Qwen3-VL-8B-Instruct | EloyMartinez-mathematical-bronze-catshark | (961806)test.parquet | Failed | Not Deployed | EloyMartinez | 2 months ago |