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⬢github Python · 60.3K ★ +671 since we first saw it · pushed 58 d ago · MIT

karpathy/nanochat

The best ChatGPT that $100 can buy.

nanochat is a minimal, hackable Python harness for training LLMs end-to-end on a single GPU node, covering tokenization, pretraining, finetuning, evaluation, and inference. It trains GPT-2-capability models for tens of dollars with a single `--depth` knob and includes a 'time-to-GPT-2' speedrun leaderboard.

Why now: The repo maintains an actively-updated speedrun leaderboard pushing 'time to GPT-2' from 168 hours (2019) down to under 2 hours, plus ongoing autoresearch experiments, driving community interest and collaboration.

Who it is for: ML researchers, students, and developers who want to learn or experiment with the full LLM training pipeline on modest hardware.

llmtrainingpythoneducationopen-sourcegpu

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