Efficient, accessible preprocessing routines for pretrain, SFT, and DPO training data preparation.
This library is part of ALEA's open source large language model training pipeline, used in the research and development of the KL3M project.
Note that this project is a work-in-progress and relies on compiled Rust code. As such, it is recommended to install the package from GitHub source until a stable release is available.
You can install the latest release from PyPI using pip:
pip install alea-preprocess
You can install a development version of the package by running the following command:
poetry run maturin develop
Example use cases are currently available under the tests/ directory.
Additional documentation and examples will be provided in the future.
This ALEA project is released under the MIT License. See the LICENSE file for details.
If you encounter any issues or have questions about using this ALEA project, please open an issue on GitHub.
To learn more about ALEA and its software and research projects like KL3M, visit the ALEA website.