| 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 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(), | |
| 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() | |