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 | Model Name | Training Dataset | Status | Created By | Created At |
|---|---|---|---|---|---|---|
| meta-llama/Llama-3.2-1B-Instruct | ox-unchanged-purple-leopon | 28928845train.parquet | Deployed | ox | 1 month ago | |
| Qwen/Qwen3-0.6B | ox-unsightly-coffee-flyingfish | 28928845train.parquet | Deployed | ox | 2 months ago | |
| Qwen/Qwen3-0.6B | 28928845train.parquet | Success | ox | 2 months ago | ||
| Qwen/Qwen3-0.6B | 28928845train.parquet | Success | ox | 2 months ago | ||
| Qwen/Qwen3-0.6B | 28928845train.parquet | Success | ox | 2 months ago | ||
| Qwen/Qwen3-1.7B | 28928845train.parquet | Success | ox | 2 months ago | ||
| Qwen/Qwen3-4B | 28928845train.parquet | Failed | ox | 2 months ago | ||
| Qwen3-1.7B | 28928845train.parquet | Failed | ox | 2 months ago | ||
| Qwen/Qwen3-0.6B | maintext2sql.parquet | Success | ox | 2 months ago |