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pyproject.toml
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[tool.black]
line-length = 240
[build-system]
requires = ["setuptools>=42", "wheel", "setuptools_scm[tomli]>=6.3"]
build-backend = "setuptools.build_meta"
[project]
name = "lmms_eval"
version = "0.2.0.post1"
authors = [
{ name = "LMMMs-Lab Evaluation Team", email = "[email protected]" },
]
description = "A framework for evaluating large multi-modality language models"
readme = "README.md"
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
requires-python = ">=3.8"
license = { text = "MIT" }
dependencies = [
"accelerate>=0.29.1",
"black==24.1.0",
"datasets==2.16.1",
"evaluate>=0.4.0",
"httpx==0.23.3",
"jsonlines",
"numexpr",
"numpy==1.26.4",
"peft>=0.2.0",
"pybind11>=2.6.2",
"pytablewriter",
"rouge-score>=0.0.4",
"sacrebleu>=1.5.0",
"scikit-learn>=0.24.1",
"sqlitedict",
"torch>=2.1.0", # to enable sdpa mode for running 34B model on one 80GB GPU
"openai>=1.0.0",
"yt-dlp",
"google-generativeai",
"pycocoevalcap",
"tqdm-multiprocess",
"transformers>=4.37.2",
"transformers-stream-generator",
"zstandard",
"pillow",
"pyyaml",
"sympy",
"mpmath",
"Jinja2",
"openpyxl",
"loguru",
"Levenshtein",
"hf_transfer",
"tenacity==8.3.0",
"wandb>=0.16.0",
"tiktoken",
"pre-commit",
"pydantic",
"packaging",
"decord",
"zss",
"pywsd",
]
[tool.setuptools.packages.find]
include = ["lmms_eval*"]
exclude = [
"assets*",
"benchmark*",
"docs",
"dist*",
"playground*",
"scripts*",
"tests*",
"checkpoints*",
"project_checkpoints*",
"debug_checkpoints*",
"mlx_configs*",
"wandb*",
"notebooks*",
"logs*",
]
[tool.wheel]
exclude = [
"assets*",
"benchmark*",
"docs",
"dist*",
"playground*",
"scripts*",
"tests*",
"checkpoints*",
"project_checkpoints*",
"debug_checkpoints*",
"mlx_configs*",
"wandb*",
"notebooks*",
"logs*",
]
[project.scripts]
lmms-eval = "lmms_eval.__main__:cli_evaluate"
[project.urls]
Homepage = "https://lmms-lab.github.io/lmms-eval-blog/"
Repository = "https://github.com/EvolvingLMMs-Lab/lmms-eval"