accelerate
codetiming
datasets
dill
hydra-core
numpy
pandas
peft
pyarrow>=19.0.0
pybind11
pylatexenc
ray[default]>=2.41.0
torchdata
tensordict<=0.6.2
transformers<=4.51.1
wandb
packaging>=20.0
qwen-vl-utils[decord]

[geo]
mathruler

[gpu]
liger-kernel
flash-attn

[math]
math-verify

[prime]
pyext

[sglang]
tensordict<=0.6.2
sglang[openai,srt]==0.4.6.post5
torch-memory-saver>=0.0.5
torch==2.6.0

[test]
pytest
pre-commit
py-spy

[vllm]
tensordict<=0.6.2
vllm<=0.8.5
