Fine-tune an LLM with Hugging Face using LoRA and QLoRA
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Master the art of fine-tuning large language models (LLMs) with Hugging Face using LoRA and QLoRA. Learn how to improve model performance with lightweight, efficient training techniques.
At a Glance
Perform parameter-efficient fine-tuning (PEFT) using LoRA and QLoRA with Hugging Face! This hands-on project ensures you master crucial concepts quickly, getting you up and running on Hugging Face in no time. If you want to adapt Hugging Face models for your task, this hands-on project is for you!
A look at the project ahead
Learning objectives
- Load and predict using models from Hugging Face
- Fine-tune language models using LoRA
- Fine-tune language models using QLoRA
- Understand the advantages and disadvantages of LoRA and QLoRA
What you’ll need
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