LLaMA-Factory-310P3/setup.py

import os
import re

from setuptools import find_packages, setup


def get_version():
    with open(os.path.join("src", "llamafactory", "extras", "env.py"), "r", encoding="utf-8") as f:
        file_content = f.read()
        pattern = r"{}\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


extra_require = {
    "torch": ["torch>=1.13.1"],
    "torch-npu": ["torch==2.1.0", "torch-npu==2.1.0.post3", "decorator"],
    "metrics": ["nltk", "jieba", "rouge-chinese"],
    "deepspeed": ["deepspeed>=0.10.0,<=0.14.0"],
    "bitsandbytes": ["bitsandbytes>=0.39.0"],
    "vllm": ["vllm>=0.4.3"],
    "galore": ["galore-torch"],
    "badam": ["badam"],
    "gptq": ["optimum>=1.16.0", "auto-gptq>=0.5.0"],
    "awq": ["autoawq"],
    "aqlm": ["aqlm[gpu]>=1.1.0"],
    "qwen": ["transformers_stream_generator"],
    "modelscope": ["modelscope"],
    "dev": ["ruff", "pytest"],
}


def main():
    setup(
        name="llamafactory",
        version=get_version(),
        author="hiyouga",
        author_email="hiyouga" "@" "buaa.edu.cn",
        description="Easy-to-use LLM fine-tuning framework",
        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-Factory",
        package_dir={"": "src"},
        packages=find_packages("src"),
        python_requires=">=3.8.0",
        install_requires=get_requires(),
        extras_require=extra_require,
        entry_points={"console_scripts": ["llamafactory-cli = llamafactory.cli:main"]},
        classifiers=[
            "Development Status :: 4 - Beta",
            "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",
            "Programming Language :: Python :: 3.11",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
        ],
    )


if __name__ == "__main__":
    main()