Overview
LLMs from Scratch is the official code repository accompanying the book “Build a Large Language Model (From Scratch)”. It walks readers through implementing, pretraining, and fine-tuning GPT-like models using clear, educational code and explanations.
Key features
- Chapter-aligned code examples covering tokenization, attention mechanisms, model implementation, and training loops.
- Exercises, notebooks, and optional setup guides for running experiments on local machines and GPUs.
- Focus on clarity and reproducibility for learning and research prototyping.
Use cases
- Teaching and self-study to understand LLM internals.
- Reference implementation for prototyping model components and training recipes.
Technical notes
- Implemented primarily in PyTorch with attention to numerical stability and engineering practices.
- Includes scripts for pretraining, fine-tuning, and evaluation, as well as optional performance improvements.