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 | Name | Training Dataset | Training Status | Deployment Status | Created By | Created At | |
|---|---|---|---|---|---|---|---|---|
| meta-llama/Llama-3.2-1B-Instruct | exclusive-plum-limpet | (122017)train_slash_explicit.parquet | Tokenized | Not Deployed | ox | 5 months ago | ||
| Qwen/Qwen3-1.7B | whole-aqua-jellyfish | (cfa8e7)train_slash_explicit_500.parquet | Success | Not Deployed | ox | 5 months ago | ||
| openai/gpt-oss-20b | (cfa8e7)train_slash_explicit_500.parquet | Success | Not Deployed | ox | 5 months ago | |||
| meta-llama/Llama-3.2-1B-Instruct | (2b6be3)train_mixed_clean_explicit.parquet | Tokenizing | Not Deployed | ox | 5 months ago | |||
| openai/gpt-oss-20b | ox-liberal-harlequin-gull | (23ad5c)train_all_rappers.parquet | Success | Sleeping | ox | 5 months ago | ||
| openai/gpt-oss-20b | (23ad5c)train_all_rappers.parquet | Stopped | Not Deployed | ox | 5 months ago |