Best Way to fine tune Llama 3?

I’m planning to create a fine-tuned version of LLaMA 3 and need some advice on the best approach. I have a few questions:

  1. Dataset Size: How large does the dataset need to be to notice a meaningful difference in performance?
  2. Dataset Format: Is the format of the dataset important? Is a CSV file fine?
  3. Fine-Tuning Methods: What’s the best way to fine-tune LLaMA 3? Has anyone used the Unsloth framework, and would you recommend it?