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setup.py
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# Copyright 2025 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Adapted from huggingface/transformers: https://github.com/huggingface/transformers/blob/21a2d900eceeded7be9edc445b56877b95eda4ca/setup.py
import re
import shutil
from pathlib import Path
from setuptools import find_packages, setup
# Remove stale open_r1.egg-info directory to avoid https://github.com/pypa/pip/issues/5466
stale_egg_info = Path(__file__).parent / "open_r1.egg-info"
if stale_egg_info.exists():
print(
(
"Warning: {} exists.\n\n"
"If you recently updated open_r1, this is expected,\n"
"but it may prevent open_r1 from installing in editable mode.\n\n"
"This directory is automatically generated by Python's packaging tools.\n"
"I will remove it now.\n\n"
"See https://github.com/pypa/pip/issues/5466 for details.\n"
).format(stale_egg_info)
)
shutil.rmtree(stale_egg_info)
# IMPORTANT: all dependencies should be listed here with their version requirements, if any.
# * If a dependency is fast-moving (e.g. transformers), pin to the exact version
_deps = [
"accelerate>=1.2.1",
"bitsandbytes>=0.43.0",
"black>=24.4.2",
"datasets>=3.2.0",
"deepspeed==0.15.4",
"distilabel[vllm,ray,openai]>=1.5.2",
"einops>=0.8.0",
"flake8>=6.0.0",
"hf_transfer>=0.1.4",
"huggingface-hub[cli]>=0.19.2,<1.0",
"isort>=5.12.0",
"liger_kernel==0.5.2",
"lighteval @ git+https://github.com/huggingface/lighteval.git@4f381b352c0e467b5870a97d41cb66b487a2c503#egg=lighteval[math]",
"math-verify>=0.3.2", # Used for math verification in grpo
"packaging>=23.0",
"parameterized>=0.9.0",
"pytest",
"safetensors>=0.3.3",
"sentencepiece>=0.1.99",
"torch>=2.5.1",
"transformers @ git+https://github.com/huggingface/transformers.git@main",
"trl @ git+https://github.com/huggingface/trl.git@main",
"vllm==0.6.6.post1",
"wandb>=0.19.1",
]
# this is a lookup table with items like:
#
# tokenizers: "tokenizers==0.9.4"
# packaging: "packaging"
#
# some of the values are versioned whereas others aren't.
deps = {b: a for a, b in (re.findall(r"^(([^!=<>~ \[\]]+)(?:\[[^\]]+\])?(?:[!=<>~ ].*)?$)", x)[0] for x in _deps)}
def deps_list(*pkgs):
return [deps[pkg] for pkg in pkgs]
extras = {}
extras["tests"] = deps_list("pytest", "parameterized")
extras["torch"] = deps_list("torch")
extras["quality"] = deps_list("black", "isort", "flake8")
extras["eval"] = deps_list("lighteval", "math-verify")
extras["dev"] = extras["quality"] + extras["tests"] + extras["eval"]
# core dependencies shared across the whole project - keep this to a bare minimum :)
install_requires = [
deps["accelerate"],
deps["bitsandbytes"],
deps["einops"],
deps["datasets"],
deps["deepspeed"],
deps["hf_transfer"],
deps["huggingface-hub"],
deps["liger_kernel"],
deps["packaging"], # utilities from PyPA to e.g., compare versions
deps["safetensors"],
deps["sentencepiece"],
deps["transformers"],
deps["trl"],
]
setup(
name="open-r1",
version="0.1.0.dev0", # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
author="The Hugging Face team (past and future)",
author_email="lewis@huggingface.co",
description="Open R1",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
keywords="llm inference-time compute reasoning",
license="Apache",
url="https://github.com/huggingface/open-r1",
package_dir={"": "src"},
packages=find_packages("src"),
zip_safe=False,
extras_require=extras,
python_requires=">=3.10.9",
install_requires=install_requires,
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)