92 lines
3.3 KiB
Python
92 lines
3.3 KiB
Python
# Copyright 2024 the LlamaFactory team.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import re
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from setuptools import find_packages, setup
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def get_version():
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with open(os.path.join("src", "llamafactory", "extras", "env.py"), "r", encoding="utf-8") as f:
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file_content = f.read()
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pattern = r"{}\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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extra_require = {
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"torch": ["torch>=1.13.1"],
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"torch-npu": ["torch==2.1.0", "torch-npu==2.1.0.post3", "decorator"],
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"torch-npu-amd": ["torch==2.1.0+cpu", "torch-npu==2.1.0.post3", "decorator"],
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"metrics": ["nltk", "jieba", "rouge-chinese"],
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"deepspeed": ["deepspeed>=0.10.0"],
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"bitsandbytes": ["bitsandbytes>=0.39.0"],
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"vllm": ["vllm>=0.4.3"],
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"galore": ["galore-torch"],
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"badam": ["badam>=1.2.1"],
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"gptq": ["optimum>=1.16.0", "auto-gptq>=0.5.0"],
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"awq": ["autoawq"],
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"aqlm": ["aqlm[gpu]>=1.1.0"],
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"qwen": ["transformers_stream_generator"],
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"modelscope": ["modelscope"],
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"dev": ["ruff", "pytest"],
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}
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def main():
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setup(
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name="llamafactory",
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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 LLM fine-tuning framework",
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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-Factory",
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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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extras_require=extra_require,
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entry_points={"console_scripts": ["llamafactory-cli = llamafactory.cli:main"]},
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classifiers=[
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"Development Status :: 4 - Beta",
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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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"Programming Language :: Python :: 3.11",
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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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