mirror of
https://github.com/hpcaitech/ColossalAI.git
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[ColossalChat] Update RLHF V2 (#5286)
* Add dpo. Fix sft, ppo, lora. Refactor all * fix and tested ppo * 2 nd round refactor * add ci tests * fix ci * fix ci * fix readme, style * fix readme style * fix style, fix benchmark * reproduce benchmark result, remove useless files * rename to ColossalChat * use new image * fix ci workflow * fix ci * use local model/tokenizer for ci tests * fix ci * fix ci * fix ci * fix ci timeout * fix rm progress bar. fix ci timeout * fix ci * fix ci typo * remove 3d plugin from ci temporary * test environment * cannot save optimizer * support chat template * fix readme * fix path * test ci locally * restore build_or_pr * fix ci data path * fix benchmark * fix ci, move ci tests to 3080, disable fast tokenizer * move ci to 85 * support flash attention 2 * add all-in-one data preparation script. Fix colossal-llama2-chat chat template * add hardware requirements * move ci test data * fix save_model, add unwrap * fix missing bos * fix missing bos; support grad accumulation with gemini * fix ci * fix ci * fix ci * fix llama2 chat template config * debug sft * debug sft * fix colossalai version requirement * fix ci * add sanity check to prevent NaN loss * fix requirements * add dummy data generation script * add dummy data generation script * add dummy data generation script * add dummy data generation script * update readme * update readme * update readme and ignore * fix logger bug * support parallel_output * modify data preparation logic * fix tokenization * update lr * fix inference * run pre-commit --------- Co-authored-by: Tong Li <tong.li352711588@gmail.com>
This commit is contained in:
43
applications/ColossalChat/setup.py
Executable file
43
applications/ColossalChat/setup.py
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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="coati",
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version=fetch_version(),
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packages=find_packages(
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exclude=(
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"tests",
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"benchmarks",
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"*.egg-info",
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)
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),
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description="Colossal-AI Talking Intelligence",
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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/Coati",
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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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