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Project description

Work in Progress

quicktok

Rust implementation of Andrej Karpathy's minbpe.

Usage

Install Rust:

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

Install the package:

pip install .

Basic example

from pathlib import Path

from quicktok import BasicTokenizer

text = Path("data/taylorswift.txt").read_text(encoding="utf-8")
tokenizer = BasicTokenizer()
tokenizer.train(text, 512)
tokenizer.save("basic.model", "basic.vocab")

Multi-threaded example

Install script dependencies:

pip install -r requirements.txt

Run training script:

python train-enwik8.py --vocab-file-path models/enwik8.vocab --num-threads 8

Performance

Performance measured on AMD Ryzen 9 3950X 16-Core processor using the train-enwik8.py script.

Threads Training Time (seconds) Speedup
1 2673.07 1.00x
2 1411.15 1.89x
4 869.31 3.08x
8 704.82 3.79x

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