Tinman-SmolOmni-MLA-Toolkit / pyproject.toml
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "smolomni"
version = "0.1.0"
description = "Tinman-SmolOmni-MLA: Unified any-to-any multimodal model with MLA attention"
readme = "README.md"
license = {text = "Apache-2.0"}
requires-python = ">=3.9"
authors = [
{name = "Tinman Lab", email = "tinmanlab@example.com"}
]
keywords = [
"multimodal", "vision-language-model", "mla-attention",
"flow-matching", "image-generation", "on-device", "smol-scale"
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"torch>=2.0.0",
"transformers>=4.40.0",
"accelerate>=0.25.0",
"huggingface-hub>=0.20.0",
"numpy>=1.24.0",
"safetensors>=0.4.0",
"tqdm",
]
[project.optional-dependencies]
audio = ["soundfile", "librosa", "torchaudio"]
onnx = ["onnx", "onnxruntime"]
quantization = ["bitsandbytes"]
dev = ["pytest", "black", "ruff"]
all = [
"smolomni[audio]",
"smolomni[onnx]",
"smolomni[quantization]",
]
[project.urls]
Homepage = "https://huggingface.co/TinmanLabSL/SmolOmni-MLA-Toolkit"
Repository = "https://huggingface.co/TinmanLabSL/SmolOmni-MLA-Toolkit"
Documentation = "https://huggingface.co/TinmanLabSL/SmolOmni-MLA-Toolkit/blob/main/README.md"
[tool.setuptools.packages.find]
where = ["."]
include = ["smolomni*"]
[tool.black]
line-length = 100
target-version = ['py39', 'py310', 'py311', 'py312']
[tool.ruff]
line-length = 100
select = ["E", "F", "W", "I"]
ignore = ["E501"]