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
6| ID | Base Model | Model Name | Display Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|---|
| meta-llama/Llama-3.2-1B-Instruct | 12201757train_slash_explicit.parquet | Tokenized | Not Deployed | ox | 3 months ago | ||||
| Qwen/Qwen3-1.7B | cfa8e753train_slash_explicit_500.parquet | Success | Not Deployed | ox | 3 months ago | ||||
| openai/gpt-oss-20b | cfa8e753train_slash_explicit_500.parquet | Success | Not Deployed | ox | 3 months ago | ||||
| meta-llama/Llama-3.2-1B-Instruct | Tokenizing | Not Deployed | ox | 3 months ago | |||||
| openai/gpt-oss-20b | ox-liberal-harlequin-gull | 23ad5c10train_all_rappers.parquet | Success | Sleeping | ox | 4 months ago | |||
| openai/gpt-oss-20b | 23ad5c10train_all_rappers.parquet | Stopped | Not Deployed | ox | 4 months ago |