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pyproject.toml
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82 lines (67 loc) · 1.73 KB
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[build-system]
requires = [
"setuptools",
"wheel",
"cmake >= 3.20",
"torch >= 2.3.0",
"ninja",
"packaging",
"cpufeature"
]
build-backend = "setuptools.build_meta"
[project]
name = "ktransformers"
dynamic = ["version"]
dependencies = [
"torch >= 2.3.0",
"transformers == 4.51.3",
"peft == 0.14.0",
"fastapi >= 0.111.0",
"uvicorn >= 0.30.1",
"langchain >= 0.2.0",
"blessed >= 1.20.0",
"accelerate >= 0.31.0",
"sentencepiece >= 0.1.97",
"setuptools",
"ninja",
"wheel",
"colorlog",
"build",
"fire",
"protobuf",
"datasets",
"torchviz",
]
requires-python = ">=3.10"
authors = [
{name = "KVCache.AI", email = "zhang.mingxing@outlook.com"}
]
maintainers = [
{name = "james0zan", email = "zhang.mingxing@outlook.com"},
{name = "awake", email = "awake@approaching.ai"},
{name = "unicorn chan", email = "nl@approaching.ai"}
]
description = "KTransformers, pronounced as Quick Transformers, is designed to enhance your Transformers experience with advanced kernel optimizations and placement/parallelism strategies."
readme = "README.md"
license = "Apache-2.0"
license-files = ["LICENSE"]
keywords = ["ktransformers", "llm"]
classifiers = [
"Development Status :: 4 - Beta",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12"
]
[project.urls]
Homepage = "https://kvcache.ai"
Repository = "https://github.com/kvcache-ai/ktransformers.git"
Issues = "https://github.com/kvcache-ai/ktransformers/issues"
[project.scripts]
ktransformers = "ktransformers.server.main:main"
[tool.setuptools.packages.find]
where = ["./", ]
include = ["ktransformers","ktransformers.*"]
[tool.black]
line-length = 120
preview = true
unstable = true