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
5ID | Base Model | Model Name | Training Dataset | Status | Created By | Created At |
---|---|---|---|---|---|---|
meta-llama/Llama-3.2-1B-Instruct | eb9236d9train.parquet | Success | ox | 1 week ago | ||
meta-llama/Llama-3.2-3B-Instruct | ox-supposed-chocolate-bird | eb9236d9train.parquet | Deployed | ox | 1 week ago | |
meta-llama/Llama-3.2-1B-Instruct | eb9236d9train.parquet | Failed | ox | 1 week ago | ||
meta-llama/Llama-3.2-1B-Instruct | eb9236d9train.parquet | Failed | ox | 1 week ago | ||
meta-llama/Llama-3.2-1B-Instruct | eb9236d9train.parquet | Failed | ox | 1 week ago |