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https://github.com/zenlm/grpo.git
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- Complete guide and implementation for LLM fine-tuning using GRPO - Hanzo AI cloud platform integration with CLI tools - Kubeflow ML pipeline configuration for scalable training - Example implementation with Skippy educational platform dataset - Full documentation including setup, usage, and deployment guides - Python package structure with trainer, dataset, and reward modules - Configuration files for both local and cloud deployment
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
from setuptools import setup, find_packages
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with open("README.md", "r", encoding="utf-8") as fh:
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long_description = fh.read()
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setup(
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name="hanzo-grpo",
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version="0.1.0",
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author="Hanzo AI",
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author_email="[email protected]",
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description="Guided Reinforcement Policy Optimization for LLM fine-tuning on Hanzo AI platform",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/hanzoai/grpo",
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packages=find_packages(where="src"),
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package_dir={"": "src"},
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classifiers=[
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"Development Status :: 3 - Alpha",
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"Intended Audience :: Developers",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"License :: OSI Approved :: MIT License",
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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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],
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python_requires=">=3.8",
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install_requires=[
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"datasets>=2.14.0",
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"transformers>=4.35.0",
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"trl>=0.7.0",
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"torch>=2.0.0",
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"peft>=0.6.0",
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"accelerate>=0.24.0",
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"hanzoai>=0.1.0",
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"pyyaml>=6.0",
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"python-dotenv>=1.0.0",
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"typer>=0.9.0",
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],
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extras_require={
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"dev": [
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"pytest>=7.4.0",
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"pytest-cov>=4.1.0",
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"black>=23.0.0",
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"isort>=5.12.0",
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"flake8>=6.0.0",
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"mypy>=1.5.0",
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],
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"monitoring": [
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"wandb>=0.15.0",
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"tensorboard>=2.14.0",
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"loguru>=0.7.0",
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],
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},
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entry_points={
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"console_scripts": [
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"grpo=grpo.cli:main",
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],
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},
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) |