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nanogpt

Provides nanoGPT, Karpathy's minimal PyTorch GPT implementation (model.py and train.py), with workflows for training character-level Shakespeare on CPU, reproducing GPT-2 124M on OpenWebText with multi-GPU torchrun, fine-tuning pretrained GPT-2 checkpoints, and training on custom text. Use when learning how GPT and transformer blocks work from scratch. Use when running a small training experiment on CPU or a single GPU. Use when modifying a transformer variant in plain PyTorch. Use when preparing character-level or BPE binary datasets. Use when troubleshooting out-of-memory or slow training in nanoGPT. Not for production or large-scale distributed training; use HuggingFace Transformers or Megatron-LM instead.

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Nov 6, 2026
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Apache-2.0

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# 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