Nanogpt

---
name: nanogpt
description: Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [Model Architecture, NanoGPT, GPT-2, Educational, Andrej Karpathy, Transformer, Minimalist, From Scratch, Training]
dependencies: [torch, transformers, datasets, tiktoken, wandb]
---

# nanoGPT - Minimalist GPT Training

## Quick start

nanoGPT is a simplified GPT implementation designed for learning and experimentation.

**Installation**:
```bash
pip install torch numpy transformers datasets tiktoken wandb tqdm
```

**Train on Shakespeare** (CPU-friendly):
```bash
# Prepare data
python data/shakespeare_char/prepare.py… load the full skill through Skill Me