#nanoGPT

nanoGPT is a simple and fast repository for training and fine-tuning medium-sized GPT models. As a rewrite of minGPT, it emphasizes simple code for easy adaptation, allowing for both new model training and fine-tuning of pre-trained checkpoints. By leveraging popular frameworks such as PyTorch and Hugging Face Transformers, nanoGPT supports training on a range of hardware from advanced GPUs to basic computers, showcasing versatility in reproducing GPT-2 results with OpenWebText.

Experience a novel way to learn about transformers in a spreadsheet setup, guided by nanoGPT principles, and now accessible in Excel for enhanced learning and discovery. This project offers a hands-on, visual, and interactive representation of the transformer architecture, allowing users to manipulate and understand components such as embedding, layer norm, and self attention. Based on Andrej Karpathy's NanoGPT, it simplifies character-based prediction with interactive features. Dive into the details with preconfigured matrices and see how spreadsheet software handles large-scale calculations.

The build-nanoGPT project presents a clear walkthrough for constructing language models, specifically GPT-2 from scratch. It provides a step-by-step guide with video support, helping users grasp the entire process efficiently in about an hour with affordable resources. Note: Finetuning for interactive abilities isn't covered; community discussions are encouraged on GitHub and Discord.

This demo provides a simple introduction to training a Large Language Model with PyTorch, encapsulated in around 240 lines of code. Taking inspiration from nanoGPT, it demonstrates the training of a 51M parameter model on a 450Kb dataset. Suitable for beginners, this guide includes step-by-step instructions and additional materials that help in understanding transformer-based models. Explore hyperparameter optimization, visualize the training outcomes, and generate text with included examples, all designed for those interested in learning language model architecture from the ground up.