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Gemma 4 Fine-Tuning on Single GPU | Training Gemma 4 With Unsloth on Custom Dataset (🔴 Live)
Venelin Valkov16 June 2026Watch on YouTube
Description
Is it worth to fine-tune a modern LLM when you can just prompt them? What if you can get better accuracy and lower GPU RAM requirements? Let's try it out! 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
- Fine-tuning Gemma 4 LLM improves model accuracy better than prompting alone, even with limited GPU resources
- Unsloth enables efficient fine-tuning of Gemma 4 on a single GPU with significantly lower GPU RAM consumption
- Learn a practical workflow for fine-tuning LLMs on custom datasets using open-source tools and optimization techniques
Frequently asked questions
Why should you fine-tune Gemma 4 instead of just using prompting?
Fine-tuning delivers better accuracy and lower GPU RAM requirements compared to prompting alone.
What tool enables fine-tuning Gemma 4 on a single GPU?
Unsloth is a tool that provides efficient GPU optimization, allowing you to train Gemma 4 on one GPU with reduced memory usage.
What use cases is fine-tuning with Unsloth suitable for?
Fine-tuning with Unsloth is suitable for improving LLM accuracy on custom datasets when GPU resources are limited.