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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()