The easiest way to run an open model on your own machine: one command downloads and starts it, plus a local REST API and libraries for Python and JavaScript.
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Open models & inferencekarpathy
nanoGPT
A minimal, readable GPT implementation in PyTorch by Andrej Karpathy: training from scratch and fine-tuning in a few hundred lines. The best way to see how a language model works.
Who it is for
For people who want to understand GPT training through short, living code.
How to start
- Install dependencies:
pip install torch numpy transformers datasets tiktoken wandb tqdm. - Prepare the data:
python data/shakespeare_char/prepare.py. - Train:
python train.py config/train_shakespeare_char.py, then sample:python sample.py --out_dir=out-shakespeare-char.
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+831Sep 6 — Oct 6
Author's description
The simplest, fastest repository for training/finetuning medium-sized GPTs.
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