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-3.1-8B-Instruct | 4c65a220pirate_train.parquet | Success | Not Deployed | ox | 1 month ago | ||||
| meta-llama/Llama-3.2-1B-Instruct | ox-appalling-aqua-yak | 4c65a220pirate_train_500.parquet | Success | Sleeping | ox | 1 month ago | |||
| meta-llama/Llama-3.2-1B-Instruct | 4c65a220pirate_train_500.parquet | Failed | Not Deployed | ox | 1 month ago | ||||
| meta-llama/Llama-3.2-3B-Instruct | 4c65a220pirate_train_500.parquet | Failed | Not Deployed | ox | 1 month ago | ||||
| Qwen/Qwen3-0.6B | ox-literary-indigo-galliform | 4c65a220pirate_train_500.parquet | Success | Sleeping | ox | 2 months ago | |||
| openai/gpt-oss-20b | f53b1fc1pirate_train.parquet | Success | Not Deployed | ox | 3 months ago |