General finetuning Notebooks
Hi! Sorry if this information is public somewhere in this model, but I am having trouble finding it. I am trying to get used to using the LLaVA LLM, and attempting to figure out how to finetune this specific model on any custom dataset (I do not care about the format for right now, but rather am just trying to see what the code looks like on any sample dataset). Does anyone have any sample notebooks they should share, or any YouTube videos that they feel explain this information well? I have tried looking at some tutorials, but there does not seem to be a ton of information on finetuning this model in particular (as far as I'm aware, it seems that each model has its unique method of being finetuned). In a follow-up to this, does anyone recommend any better resources for running these models without a GPU aside from Google Colab's T4 GPU? Any information could help, as I am very new to working with these, thanks!