nanoGPT
Verdict: Andrej Karpathy's minimal, readable code for training and fine-tuning GPT models; a classic for learning how LLMs work from the inside.
Fit Developer
Levels show who gets value from it — many tools work for both beginners and experts.
🚀 Getting started: Clone the repo, `pip install torch numpy transformers datasets tiktoken`, then train the tiny Shakespeare model with `python train.py config/train_shakespeare_char.py`.
✅ Good fit if you want to learn how GPT models are trained by reading and running real code.
⛔ Not for you if you want a production LLM or chat app.
The score rates quality; this box tells you whether it suits you. How to read it
Free (open source, MIT) · Official site: https://github.com/karpathy/nanoGPT · source checked (HTTP 200)
GitHub repo · ★ 64.1k stars (as of 2026-10-27) · More open-source AI
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nanoGPT FAQ
Is nanoGPT free?
Yes, there is a free option. Pricing as we found it: Free (open source, MIT) (checked 2026-10-27).
Who is nanoGPT best for?
nanoGPT is a good fit if you want to learn how GPT models are trained by reading and running real code. It is not for you if you want a production LLM or chat app. Level: Developer.
What are good alternatives to nanoGPT?
The highest-scored alternatives in AI frameworks & libraries on AI Agent Ideas are PyTorch (8.4/10), Keras (8.3/10), scikit-learn (8.3/10) and Hugging Face Transformers (8.1/10).
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