uv-nanogpt

What problem does it solve?

This Skill provides a minimalist, educational implementation of the GPT architecture, allowing users to understand and experiment with transformer models from the ground up, without complex abstractions.

Core Features & Use Cases

• Learn Transformer Architecture: Explore the core components of GPT (attention, MLP, embeddings) in ~300 lines of code.
• Train on Custom Data: Easily prepare and train models on character-level or subword-tokenized datasets.
• Reproduce GPT-2: Follow instructions to train a GPT-2 124M model on OpenWebText.
• Use Case: A student learning about deep learning can use this Skill to train a small language model on a custom text corpus to grasp the practical aspects of transformer training.

Quick Start

Train a character-level model on Shakespeare data by running the command python train.py config/train_shakespeare_char.py.