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  pipeline_tag: text-generation
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  ---
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- # CodeLlama-13b-MORepair
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-
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  CodeLlama-13b-MORepair is a program repair model fine-tuned from CodeLlama-13b-instruct using a novel multi-objective fine-tuning framework called MOREPAIR. This model is specifically designed to improve automated program repair capabilities by learning both code transformations and repair logic reasoning.
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  [Paper](https://arxiv.org/abs/2404.12636) | [Code](https://github.com/buaabarty/morepair)
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  ## Model Description
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  - **Base Model**: CodeLlama-13b-instruct
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  - **Context Window**: Same as CodeLlama-13b-instruct
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  - **Input Format**: Code snippets with optional repair guidance
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- ## Citation
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-
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- If you use this model in your research, please cite:
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- ```bibtex
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- @article{10.1145/3735129,
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- author = {Yang, Boyang and Tian, Haoye and Ren, Jiadong and Zhang, Hongyu and Klein, Jacques and Bissyande, Tegawende and Le Goues, Claire and Jin, Shunfu},
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- title = {MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning},
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- year = {2025},
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- publisher = {Association for Computing Machinery},
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- issn = {1049-331X},
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- url = {https://doi.org/10.1145/3735129},
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- doi = {10.1145/3735129},
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- journal = {ACM Trans. Softw. Eng. Methodol.},
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- }
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- ```
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-
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- ## Acknowledgments
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- This model builds upon the CodeLlama model family developed by Meta AI and incorporates the MOREPAIR framework for enhanced program repair capabilities.
 
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  pipeline_tag: text-generation
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  ---
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  CodeLlama-13b-MORepair is a program repair model fine-tuned from CodeLlama-13b-instruct using a novel multi-objective fine-tuning framework called MOREPAIR. This model is specifically designed to improve automated program repair capabilities by learning both code transformations and repair logic reasoning.
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  [Paper](https://arxiv.org/abs/2404.12636) | [Code](https://github.com/buaabarty/morepair)
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+ ## Citation
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+
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+ If you use this model in your research, please cite:
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+ ```bibtex
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+ @article{10.1145/3735129,
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+ author = {Yang, Boyang and Tian, Haoye and Ren, Jiadong and Zhang, Hongyu and Klein, Jacques and Bissyande, Tegawende and Le Goues, Claire and Jin, Shunfu},
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+ title = {MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning},
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+ year = {2025},
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+ publisher = {Association for Computing Machinery},
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+ issn = {1049-331X},
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+ url = {https://doi.org/10.1145/3735129},
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+ doi = {10.1145/3735129},
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+ journal = {ACM Trans. Softw. Eng. Methodol.},
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+ }
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+ ```
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+
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  ## Model Description
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  - **Base Model**: CodeLlama-13b-instruct
 
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  - **Context Window**: Same as CodeLlama-13b-instruct
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  - **Input Format**: Code snippets with optional repair guidance
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