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Gemma 4 Fine-Tuning on Single GPU | Training Gemma 4 With Hugging Face on Custom Dataset (🔴 Live)
Venelin Valkov16 June 2026Watch on YouTube
Description
Let's continue our fine-tuning of Gemma 4 adventure with some improvements/fixed and get Gemma 4 to learn on a custom dataset AI Academy: https://mlexpert.io/ Work with me: https://mlexpert.io/consulting LinkedIn: https://www.linkedin.com/in/venelin-valkov/ Follow me on X: https://twitter.com/venelin_valkov Discord: https://discord.gg/UaNPxVD6tv Subscribe: http://bit.ly/venelin-subscribe GitHub repository: https://github.com/curiousily/AI-Bootcamp 👍 Don't Forget to Like, Comment, and Subscribe for More Tutorials! Join this channel to get access to the perks and support my work: https://www.youtube.com/channel/UCoW_WzQNJVAjxo4osNAxd_g/join
What you'll learn
- Learn how to fine-tune Gemma 4 on a single GPU using Hugging Face tools.
- A custom dataset can be used to teach the model domain-specific knowledge.
- Fine-tuning Gemma 4 requires practical adjustments and improvements to work effectively.
- Hugging Face provides the necessary frameworks and libraries for the fine-tuning process.
Frequently asked questions
Which model is used for fine-tuning in this tutorial?
The tutorial focuses on fine-tuning Gemma 4 using Hugging Face with a custom dataset.
How many GPUs are needed for this fine-tuning?
Only a single GPU is required for this tutorial, making it more accessible for developers.
How can I use my own dataset for fine-tuning?
The video demonstrates how to load and use a custom dataset to train Gemma 4 on specific tasks.
What improvements are covered in this tutorial compared to previous attempts?
The tutorial covers practical improvements and fixes for the Gemma 4 fine-tuning process.