Finetune LLaMA 3.1 On A Custom Dataset For FREE | Function Calling (Notebook Included)

Fine-tuning LLaMA 3.1 is extremely easy whether you are finetuning the 8B, 70B or 405B parameter models you will be able to use this notebook. LLaMA 3.1 is a huge advancement in artificial intelligence especially since Meta open-sourced it allowing us to use it for whatever our use cases maybe. In this video, I'll show you how to finetune LLaMA 3.1 using unsloth in a Google Colab notebook. I hope this video helps and I appreciate you for watching! ► Allyson - Your AI Executive Assistant: https://allyson.ai ► FREE Guide For This Video: https://isaiahbjork.gumroad.com/l/llama-3-1-finetuning ►Tools Featured in This Video: Unsloth Google Colab Claude 3.5 Sonnet ► TIMESTAMPS: 0:00 - Recap of Last Video - Install LLaMA 3.1 405B 0:10 - Intro on How To Finetune LLaMA 3.1 0:45 - Install Unsloth in Google Colab 0:57 - Download LLaMA 3.1 1:12 - Reviewing Function Calling Dataset on Hugging Face 1:40 - Finetune LLaMA 3.1 8B with Unsloth 2:12 - Claude 3.5 Sonnet Machine Learning Dashboard 3:04 - Inferencing LLaMA 3.1 Function Calling ► All My Links: https://linktr.ee/isaiah_bjork ► VIDEOS YOU DON'T WANT TO MISS: https://www.youtube.com/watch?v=CMy1Zikojcc https://www.youtube.com/watch?v=QjtjB0RKeno https://www.youtube.com/watch?v=KEkWeeYAztA https://www.youtube.com/watch?v=OSvnGAYTAVE