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
4ID | Base Model | Model Name | Training Dataset | Status | Created By | Created At |
---|---|---|---|---|---|---|
meta-llama/Llama-3.2-1B-Instruct | ox-valid-rose-hawk | f7550b67train.jsonl | Deployed | ox | 1 month ago | |
meta-llama/Llama-3.2-1B-Instruct | ox-net-ivory-cow | f7550b67train.jsonl | Deployed | ox | 1 month ago | |
meta-llama/Llama-3.2-1B-Instruct | ox-outstanding-sapphire-bandicoot | f7550b67train.jsonl | Deployed | ox | 1 month ago | |
meta-llama/Llama-3.2-1B-Instruct | ox-right-amethyst-sparrow | 5d9d58b8train.jsonl | Deployed | ox | 1 month ago |