Instructions to use Moreza009/Llama-DrugReasoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Moreza009/Llama-DrugReasoner with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "Moreza009/Llama-DrugReasoner") - Notebooks
- Google Colab
- Kaggle
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README.md
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If you use DrugReasoner in your research, please cite our work:
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title={DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model},
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author={Mohammadreza Ghaffarzadeh-Esfahani and Ali Motahharynia* and Nahid Yousefian and Navid Mazrouei and Jafar Ghaisari and Yousof Gheisari},
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year={2025},
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eprint={2508.18579},
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archivePrefix={arXiv},
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primaryClass={cs.LG},
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url={https://arxiv.org/abs/2508.18579},
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}
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```
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## 📜 License
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If you use DrugReasoner in your research, please cite our work:
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Ghaffarzadeh-Esfahani, M., Motahharynia, A., Yousefian, N., Mazrouei, N., Ghaisari, J., & Gheisari, Y. (2026). DrugReasoner: Interpretable drug approval prediction with a reasoning-augmented language model. PloS one, 21(2), e0342940. https://doi.org/10.1371/journal.pone.0342940
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```
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## 📜 License
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