Individual skill
model-architecture-nanogpt
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).
cli-tool/components/skills/ai-research/model-architecture-nanogpt/SKILL.md
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- License
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- model-architecture Declared skill tag
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Read excerpt
# 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