nanoGPT
Model Deploymentkarpathy/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
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project-specificCopy this into Claude Code, Codex, Cursor, or any assistant that can run commands. It carries this project's own install command and verification step.
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.