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
5| ID | Base Model | Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|
| meta-llama/Llama-3.2-1B-Instruct | (eb9236)train.parquet | Success | Not Deployed | ox | 8 months ago | |||
| meta-llama/Llama-3.2-3B-Instruct | (eb9236)train.parquet | Success | Error | ox | 8 months ago | |||
| meta-llama/Llama-3.2-1B-Instruct | (eb9236)train.parquet | Failed | Not Deployed | ox | 8 months ago | |||
| meta-llama/Llama-3.2-1B-Instruct | (eb9236)train.parquet | Failed | Not Deployed | ox | 8 months ago | |||
| meta-llama/Llama-3.2-1B-Instruct | (eb9236)train.parquet | Failed | Not Deployed | ox | 8 months ago |