Train and run Stanford Alpaca on your own machine

What this post added

This post details the process of training and running Stanford Alpaca, a fine-tuned version of Meta's LLaMA model, on a user's own machine. It covers prerequisites such as obtaining LLaMA weights and having a GPU machine, cloning a modified Alpaca repository with Cog integration, converting LLaMA weights to a Hugging Face Transformers format, and executing a training script. Finally, it shows how to run the trained model using `cog predict` with an example prompt.