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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 |
Project details
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