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---
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license: apache-2.0
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base_model:
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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pipeline_tag: question-answering
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metrics:
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- accuracy
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---
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license: apache-2.0
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base_model:
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
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pipeline_tag: question-answering
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metrics:
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- accuracy
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This model is specialized for causal inference.
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## Model Details
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- **Developed by:** OpenCausaLab
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- **Model type:** LLM.
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- **Language(s) (NLP):** Englsih.
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/OpenCausaLab/CauGym
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- **Paper :** https://www.arxiv.org/abs/2602.06337
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## Citation
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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```latex
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@misc{chen2026posttrainingtransformllmscausal,
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title={Can Post-Training Transform LLMs into Causal Reasoners?},
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author={Junqi Chen and Sirui Chen and Chaochao Lu},
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year={2026},
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eprint={2602.06337},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2602.06337},
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}
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```
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