Train and run Stanford Alpaca on your own machine

This post details the process of training and running Stanford Alpaca on personal hardware. It covers obtaining LLaMA weights, converting them to a Hugging Face transformers-compatible format using a provided script, and then training the model using a `train_model.sh` script within a Cog environment. The post also demonstrates how to run the trained model using `cog predict` and provides instructions for pushing the model to Replicate for cloud deployment.