Question Answering
Transformers
Safetensors
English
qwen3
text-generation
rule-based reasoning
text-generation-inference
Instructions to use RuleReasoner/RuleReasoner-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RuleReasoner/RuleReasoner-8B with Transformers:
# 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") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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tags:
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- rule-based reasoning
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library_name: transformers
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tags:
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- rule-based reasoning
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---
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## Citation
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If you use the model in your research, please cite the original papers as below.
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```latex
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@article{liu2025rulereasoner,
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title={RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling},
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author={Yang Liu and Jiaqi Li and Zilong Zheng},
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year={2025},
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eprint={2506.08672},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2506.08672},
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}
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```
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