56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
import os
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import re
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from setuptools import setup, find_packages
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def get_version():
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with open(os.path.join("src", "llmtuner", "__init__.py"), "r", encoding="utf-8") as f:
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file_content = f.read()
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pattern = r"{0}\W*=\W*\"([^\"]+)\"".format("__version__")
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version, = re.findall(pattern, file_content)
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return version
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def get_requires():
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with open("requirements.txt", "r", encoding="utf-8") as f:
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file_content = f.read()
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lines = [line.strip() for line in file_content.strip().split("\n") if not line.startswith("#")]
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return lines
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def main():
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setup(
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name="llmtuner",
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version=get_version(),
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author="hiyouga",
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author_email="hiyouga" "@" "buaa.edu.cn",
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description="Easy-to-use fine-tuning framework using PEFT",
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long_description=open("README.md", "r", encoding="utf-8").read(),
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long_description_content_type="text/markdown",
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keywords=["LLaMA", "BLOOM", "Falcon", "LLM", "ChatGPT", "transformer", "pytorch", "deep learning"],
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license="Apache 2.0 License",
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url="https://github.com/hiyouga/LLaMA-Efficient-Tuning",
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package_dir={"": "src"},
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packages=find_packages("src"),
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python_requires=">=3.8.0",
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install_requires=get_requires(),
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classifiers=[
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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)
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if __name__ == "__main__":
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main()
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