nanoGPT

nanoGPT

Model Deployment

karpathy/nanoGPT

64.4K11.1KPythonMIT

A teaching-focused project that trains and fine-tunes small to medium GPT models with just a few hundred lines of code.

🧠 Model Deployment🎓 Education🏠 Local Runtime
nanoGPT preview
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Tool Info
Type🐙 Open Source
Stars64.4K
Forks11.1K
LanguagePython
LicenseMIT
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Install and configure nanoGPT on my machine.
Repository: https://github.com/karpathy/nanoGPT

What this project is: A teaching-focused project that trains and fine-tunes small to medium GPT models with just a few hundred lines of code.

Installation given by the repo's docs (if it's stale, follow the current README):
whatever the README prescribes

Verify it works with this (also per the repo's docs):
whatever minimal example the README gives

Prerequisites and caveats: nothing unusual — check the README

Requirements:
1. Read the repo's README and install docs first — check whether the commands above still apply and whether dependencies are complete. Don't guess.
1b. **If it turns out not to be installable software** (a dataset, project template, config collection, documentation, design assets, or a phone app), tell me what it actually is and how it should be used, then proceed that way — don't force an install flow.
2. Choose steps for my OS (macOS / Linux / Windows). If unsure, ask me first — no destructive operations.
3. Actually run the verification step above and paste the real output, so we know it runs — not "it should work".
4. Ask before you need an API key, admin rights, or a large download / significant disk usage.
5. Finally tell me in a few lines: how to start it, how to uninstall it, and where the config lives.

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