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Deploy 16B MoE architecture with Foldseek RAG and Autonomous Swarm
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from setuptools import setup, find_packages
setup(
name="aether-rami",
version="16.0.0-MoE",
author="Premchand Yadav",
author_email="premchand.yadav2021@vitap.ac.in",
description="Unified 16B Mixture-of-Experts Deep Learning for De Novo 3D Biopharmaceutical Discovery & Secondary Resistance Bypass",
long_description=open("README.md", encoding="utf-8").read(),
long_description_content_type="text/markdown",
url="https://premchandyadav1.vercel.app/",
project_urls={
"Hugging Face": "https://huggingface.co/premchandyadav/aether-rami-esm2-diffsbdd",
"Author Portfolio": "https://premchandyadav1.vercel.app/",
},
packages=find_packages(),
py_modules=["modeling_aether_rami", "configuration_aether_rami", "pipeline_aether_rami", "foldseek_rag", "pharmacology_engine", "discovery_swarm"],
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Bio-Informatics",
"Topic :: Scientific/Engineering :: Chemistry",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
install_requires=[
"torch>=2.0.0",
"transformers>=4.30.0",
"safetensors>=0.4.0",
"huggingface_hub>=0.20.0",
"numpy>=1.24.0",
],
python_requires=">=3.9",
)