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 | Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|
| meta-llama/Llama-3.1-8B-Instruct | ox-interior-apricot-whale | (4c65a2)pirate_train.parquet | Success | Not Deployed | ox | 3 months ago | ||
| meta-llama/Llama-3.2-1B-Instruct | ox-appalling-aqua-yak | (4c65a2)pirate_train_500.parquet | Success | Sleeping | ox | 3 months ago | ||
| meta-llama/Llama-3.2-1B-Instruct | ox-weak-fuchsia-platypus | (4c65a2)pirate_train_500.parquet | Failed | Not Deployed | ox | 3 months ago | ||
| meta-llama/Llama-3.2-3B-Instruct | ox-vertical-turquoise-monkey | (4c65a2)pirate_train_500.parquet | Failed | Not Deployed | ox | 3 months ago | ||
| Qwen/Qwen3-0.6B | ox-literary-indigo-galliform | (4c65a2)pirate_train_500.parquet | Success | Sleeping | ox | 4 months ago | ||
| openai/gpt-oss-20b | (f53b1f)pirate_train.parquet | Success | Not Deployed | ox | 5 months ago |