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 | Model Name | Display Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|---|
| meta-llama/Llama-3.2-1B-Instruct | fb6e86dasql-create-context.parquet | Stopped | Not Deployed | mathi | 3 months ago | ||||
| meta-llama/Llama-3.2-1B-Instruct | Failed | Not Deployed | mathi | 4 months ago | |||||
| openai/gpt-oss-20b | Failed | Not Deployed | mathi | 4 months ago | |||||
| openai/gpt-oss-20b | Stopped | Not Deployed | mathi | 4 months ago | |||||
| openai/gpt-oss-20b | mathi-big-olive-gorilla | Success | Sleeping | mathi | 4 months ago | ||||
| openai/gpt-oss-20b | Failed | Not Deployed | mathi | 4 months ago |