mirror of
https://github.com/open-thought/reasoning-gym.git
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* feat: Add optional curriculum support to dataset registration and creation * docs: Add docstrings to create_curriculum() and register_dataset() * feat: Add curriculum configuration classes for CurriculumExperiment * feat: Add weight parameter to CurriculumAttributeConfig and use in DatasetSpec * refactor: Simplify CurriculumAttributeConfig with "*" attribute level support * test: Add unit tests for CurriculumExperiment class * feat: Add from_yaml() method to CurriculumExperimentConfig with unit test |
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| basic_curriculum | ||
| chain_sum | ||
| .gitignore | ||
| README.md | ||
env setup
conda create --name verl python=3.11 -y
conda activate verl
pip install flash-attn --no-build-isolation
pip install ray wandb
# pip3 install vllm==0.7.0
pip3 install vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
Regarding vllm>0.7 see: docs
clone and install veRL
tested with verl HEAD 0dfcb7f99e299940e1792a386df13c7591df351a
git clone https://github.com/volcengine/verl.git
cd verl
pip install -e .
Optionally log in to huggingface hub and wandb with your keys:
huggingface-cli login
wandb login