Create Your Dataset
For this example, we are using a formatted version of the mlabonne/FineTome-100k dataset filtered to only educational content and limited to the first 3,000 rows. The dataset has one column for the prompt and one for the response. Oxen supports datasets in a variety of formats, including jsonl, csv, and parquet.
Fine-Tuning The Model
Once you have uploaded your dataset, click the “Actions” button and select “Fine-tune a model”.


Monitoring the Fine-Tune
While we’re fine-tuning your model, you’ll be able to see the configuration, logs, and metrics of the fine-tuning.
Deploying the Model
Once your fine-tuning is complete, go to the configuration page and click “Deploy”. From there, you will not only have an API endpoint to use, but you will also be able to chat with your fine-tuned model to get a sense of how it’s doing.
