The article discusses how to fine-tune Large Language Models (LLMs) on a custom dataset using Lit-Parrot, a GPT-NeoX model implementation. The process involves installing Lit-Parrot, downloading pre-trained weights, and preparing the dataset. The Dolly 2.0 instruction dataset is used in the tutorial. Once the preparation is complete, fine-tuning involves running the finetune_adapter.py script by providing the data path. The article includes links to download the required files, instructions to convert the weights to Lit-Parrot format, and modify the Alpaca script for data preparation. The author encourages sharing favorite prompts and responses with Lit-Parrot on Twitter or in the Discord community.
https://lightning.ai/pages/blog/how-to-finetune-gpt-like-large-language-models-on-a-custom-dataset/