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!
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► FREE Guide For This Video:
https://isaiahbjork.gumroad.com/l/lla...
►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
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