Fine-Tuning GPT-OSS 20B Open Source Model from OpenAI

Learn to fine-tune OpenAI's open-source GPT-OSS 20 billion parameter model using the HuggingFace ecosystem in this 24-minute tutorial. Explore the complete fine-tuning workflow utilizing transformers, PEFT, datasets, and related libraries through practical implementation. Understand the critical considerations for dataset selection, hardware resource requirements, and parameter configuration before initiating the training process. Follow along with the provided boilerplate code while gaining insights into the nuances that make fine-tuning successful. Access the accompanying GitHub notebook (gpt-oss-ft.ipynb) and examine the resulting fine-tuned multilingual reasoning model hosted on HuggingFace, which demonstrates practical application of the techniques covered in the tutorial.