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* refactor latest code * update api * add dummy dataset * update Readme * add setup * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update files * add PP support * update arguments * update argument * reorg folder * update version * remove IB infor * update utils * update readme * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * update save for zero * update save * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add apex * update --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
from setuptools import find_packages, setup
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def fetch_requirements(path):
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with open(path, "r") as fd:
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return [r.strip() for r in fd.readlines()]
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def fetch_readme():
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with open("README.md", encoding="utf-8") as f:
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return f.read()
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def fetch_version():
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with open("version.txt", "r") as f:
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return f.read().strip()
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setup(
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name="colossal_llama",
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version=fetch_version(),
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packages=find_packages(exclude=("*.egg-info",)),
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description="Continual Pre-training and SFT for LLaMA",
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long_description=fetch_readme(),
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long_description_content_type="text/markdown",
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license="Apache Software License 2.0",
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url="https://github.com/hpcaitech/ColossalAI/tree/main/applications/Colossal-LLaMA",
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install_requires=fetch_requirements("requirements.txt"),
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python_requires=">=3.7",
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classifiers=[
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"Programming Language :: Python :: 3",
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"License :: OSI Approved :: Apache Software License",
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"Environment :: GPU :: NVIDIA CUDA",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: System :: Distributed Computing",
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],
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)
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