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pyproject.toml
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53 lines (48 loc) · 1.46 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "kascade"
version = "0.1.0"
description = "Kascade: A practical sparse attention method for long-context LLM inference"
readme = "README.md"
requires-python = ">=3.12"
authors = [
{name = "Kascade Authors"}
]
keywords = ["attention", "transformers", "long-context", "sparse-attention", "llm"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"accelerate==1.8.1",
"datasets==3.6.0",
"evaluate==0.4.4",
"fuzzywuzzy==0.18.0",
"huggingface-hub==0.33.1",
"jieba==0.42.1",
"latex2sympy2==1.9.1",
"matplotlib==3.10.3",
"protobuf==6.33.5",
"scikit-learn==1.7.0",
"transformers==5.0.0rc3",
"wandb==0.20.1",
"word2number==1.1",
"Rouge==1.0.1",
"pandas",
]
[project.optional-dependencies]
dev = [
"coverage==7.9.1",
"pytest",
]
[project.urls]
Homepage = "https://github.com/your-org/kascade"
Repository = "https://github.com/your-org/kascade"
[tool.setuptools]
package-dir = {"kascade" = "src"}
packages = ["kascade", "kascade.kernels", "kascade.kernels.flash_attention", "kascade.kernels.flash_decoding", "kascade.metrics", "kascade.qadatasets", "kascade.runners", "kascade.strategies"]