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RuleReasoner
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RuleReasoner-8B

Question Answering
Transformers
Safetensors
English
qwen3
text-generation
rule-based reasoning
text-generation-inference
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xet
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2
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("question-answering", model="RuleReasoner/RuleReasoner-8B")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("RuleReasoner/RuleReasoner-8B")
model = AutoModelForCausalLM.from_pretrained("RuleReasoner/RuleReasoner-8B")
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Citation

If you use the model in your research, please cite the original papers as below.

@article{liu2025rulereasoner,
      title={RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling}, 
      author={Yang Liu and Jiaqi Li and Zilong Zheng},
      year={2025},
      eprint={2506.08672},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2506.08672}, 
}
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