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
9| ID | Base Model | Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|
| meta-llama/Llama-3.2-1B-Instruct | ox-unchanged-purple-leopon | (289288)train.parquet | Success | Sleeping | ox | 7 months ago | ||
| Qwen/Qwen3-0.6B | ox-unsightly-coffee-flyingfish | (289288)train.parquet | Success | Sleeping | ox | 8 months ago | ||
| Qwen/Qwen3-0.6B | (289288)train.parquet | Success | Not Deployed | ox | 8 months ago | |||
| Qwen/Qwen3-0.6B | (289288)train.parquet | Success | Not Deployed | ox | 8 months ago | |||
| Qwen/Qwen3-0.6B | (289288)train.parquet | Success | Not Deployed | ox | 8 months ago | |||
| Qwen/Qwen3-1.7B | (289288)train.parquet | Success | Not Deployed | ox | 8 months ago | |||
| Qwen/Qwen3-4B | (289288)train.parquet | Failed | Not Deployed | ox | 8 months ago | |||
| Qwen3-1.7B | (289288)train.parquet | Failed | Not Deployed | ox | 8 months ago | |||
| Qwen/Qwen3-0.6B | (main)text2sql.parquet | Success | Not Deployed | ox | 8 months ago |