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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "zetascale"
version = "2.7.3"
description = "Rapidly Build, Optimize, and Train SOTA AI Models"
authors = ["Zeta Team <[email protected]>"]
license = "MIT"
readme = "README.md"
homepage = "https://github.com/kyegomez/zeta"
keywords = [
"artificial intelligence",
"deep learning",
"optimizers",
"Prompt Engineering",
"swarms",
"agents",
"llms",
"transformers",
"multi-agent",
"swarms of agents",
"Enterprise-Grade Agents",
"Production-Grade Agents",
"Agents",
"Multi-Grade-Agents",
"Swarms",
"Transformers",
"LLMs",
"Prompt Engineering",
"Agents",
"Generative Agents",
"Generative AI",
"Agent Marketplace",
"Agent Store",
"LSTMS",
"GRUs",
"RNNs",
"CNNs",
"MLPs",
"DNNs",
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.10",
]
packages = [
{ include = "zeta" },
{ include = "zeta/**/*.py" },
]
[tool.poetry.dependencies]
python = "^3.10"
torch = ">=2.1.1,<3.0"
pytest = "8.3.2"
torchfix = "*"
einops = "0.8.0"
bitsandbytes = "*"
transformers = "4.44.2"
einops-exts = "0.0.4"
torchvision = "*"
accelerate = "1.0.1"
datasets = "*"
loguru = "*"
vector-quantize-pytorch = "1.18.5"
beartype = "0.18.5"
tqdm = "4.66.5"
rich = "13.8.0"
colt5-attention = "*"
argparse = "^1.4.0"
local-attention = "*"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry.group.lint.dependencies]
ruff = ">=0.5.1,<0.7.2"
types-toml = "^0.10.8.1"
types-redis = "^4.3.21.6"
types-pytz = ">=2023.3,<2025.0"
black = ">=23.1,<25.0"
types-chardet = "^5.0.4.6"
mypy-protobuf = "^3.0.0"
pytest = "8.3.2"
[tool.ruff]
line-length = 80
[tool.black]
line-length = 80
target-version = ['py38']
preview = true
# [tool.poetry.scripts]
# zeta = 'zeta.cli.main:main'