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setup.py
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69 lines (65 loc) · 2.24 KB
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"""Setup script for LLM Fine-tuning Pipeline."""
from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
with open("requirements.txt", "r", encoding="utf-8") as fh:
requirements = [line.strip() for line in fh if line.strip() and not line.startswith("#")]
setup(
name="llm-finetuning-pipeline",
version="0.1.0",
author="Your Name",
author_email="your.email@example.com",
description="A comprehensive pipeline for fine-tuning LLMs with LoRA/QLoRA",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/yourusername/llm-finetuning-pipeline",
packages=find_packages(),
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
],
python_requires=">=3.8",
install_requires=requirements,
extras_require={
"dev": [
"pytest>=7.4.0",
"pytest-cov>=4.1.0",
"black>=23.9.0",
"isort>=5.12.0",
"flake8>=6.0.0",
"mypy>=1.7.0",
"pre-commit>=3.5.0",
],
"docs": [
"mkdocs>=1.5.0",
"mkdocs-material>=9.4.0",
"sphinx>=7.2.0",
],
"cloud": [
"boto3>=1.34.0",
"google-cloud-storage>=2.10.0",
"azure-storage-blob>=12.19.0",
],
},
entry_points={
"console_scripts": [
"llm-finetune=src.cli:main",
"llm-gui=src.gui.app:main",
"llm-eval=src.evaluation.cli:main",
],
},
include_package_data=True,
package_data={
"": ["*.yaml", "*.yml", "*.json", "*.txt", "*.md"],
},
)