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
4| ID | Base Model | Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|
| meta-llama/Llama-3.2-1B-Instruct | ox-valid-rose-hawk | (f7550b)train.jsonl | Success | Sleeping | ox | 7 months ago | ||
| meta-llama/Llama-3.2-1B-Instruct | ox-net-ivory-cow | (f7550b)train.jsonl | Success | Error | ox | 7 months ago | ||
| meta-llama/Llama-3.2-1B-Instruct | ox-outstanding-sapphire-bandicoot | (f7550b)train.jsonl | Success | Sleeping | ox | 7 months ago | ||
| meta-llama/Llama-3.2-1B-Instruct | ox-right-amethyst-sparrow | (5d9d58)train.jsonl | Success | Sleeping | ox | 7 months ago |