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Copy pathpyproject.toml
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74 lines (64 loc) · 1.89 KB
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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "model-quantization-lab"
version = "0.1.0"
description = "Unified benchmarking harness for LLM quantization methods — apples-to-apples comparison of GPTQ, AWQ, and GGUF with perplexity, latency, and memory metrics"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
{name = "Rajath John", email = "jrajath94@gmail.com"},
]
keywords = ["quantization", "llm", "gptq", "awq", "gguf", "benchmark", "model-compression"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"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",
"numpy>=1.24.0",
"pydantic>=2.0.0",
]
[project.optional-dependencies]
quantization = [
"auto-gptq>=0.7.0",
"autoawq>=0.2.0",
]
dev = [
"pytest>=7.4.0",
"pytest-cov>=4.1.0",
"pytest-asyncio>=0.21.0",
"ruff>=0.1.0",
"mypy>=1.5.0",
]
[project.scripts]
quant-lab = "model_quantization_lab.cli:main"
[project.urls]
Homepage = "https://github.com/jrajath94/model-quantization-lab"
Repository = "https://github.com/jrajath94/model-quantization-lab"
[tool.setuptools.packages.find]
where = ["src"]
[tool.ruff]
target-version = "py310"
line-length = 100
[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP", "B", "SIM"]
ignore = ["E501"]
[tool.mypy]
python_version = "3.10"
ignore_missing_imports = true
warn_return_any = false
no_strict_optional = true
warn_unused_configs = true
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-v --tb=short"