LLaMA-Efficient-Tuning/setup.py

import os
import re
from setuptools import setup, find_packages


def get_version():
    with open(os.path.join("src", "llmtuner", "__init__.py"), "r", encoding="utf-8") as f:
        file_content = f.read()
        pattern = r"{0}\W*=\W*\"([^\"]+)\"".format("__version__")
        version, = re.findall(pattern, file_content)
        return version


def get_requires():
    with open("requirements.txt", "r", encoding="utf-8") as f:
        file_content = f.read()
        lines = [line.strip() for line in file_content.strip().split("\n") if not line.startswith("#")]
        return lines


def main():

    setup(
        name="llmtuner",
        version=get_version(),
        author="hiyouga",
        author_email="hiyouga" "@" "buaa.edu.cn",
        description="Easy-to-use fine-tuning framework using PEFT",
        long_description=open("README.md", "r", encoding="utf-8").read(),
        long_description_content_type="text/markdown",
        keywords=["LLaMA", "BLOOM", "Falcon", "LLM", "ChatGPT", "transformer", "pytorch", "deep learning"],
        license="Apache 2.0 License",
        url="https://github.com/hiyouga/LLaMA-Efficient-Tuning",
        package_dir={"": "src"},
        packages=find_packages("src"),
        python_requires=">=3.8.0",
        install_requires=get_requires(),
        classifiers=[
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3.9",
            "Programming Language :: Python :: 3.10",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
        ]
    )


if __name__ == "__main__":
    main()