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README.md
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## Ethical Considerations and Limitations
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Granite code instruct models are primarily finetuned using instruction-response pairs across a specific set of programming languages. Thus, their performance may be limited with out-of-domain programming languages. In this situation, it is beneficial providing few-shot examples to steer the model's output. Moreover, developers should perform safety testing and target-specific tuning before deploying these models on critical applications. The model also inherits ethical considerations and limitations from its base model. For more information, please refer to *[Granite-3B-Code-Base](https://huggingface.co/ibm-granite/granite-3b-code-base)* model card.
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## Citation
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```
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@misc{granite-models,
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author = {author 1, author2, ...},
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title = {Granite Code Large Language Models: IBM Foundation Models for Code},
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journal = {},
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volume = {},
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year = {2024},
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url = {https://arxiv.org/abs/0000.00000},
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}
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```
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## Ethical Considerations and Limitations
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Granite code instruct models are primarily finetuned using instruction-response pairs across a specific set of programming languages. Thus, their performance may be limited with out-of-domain programming languages. In this situation, it is beneficial providing few-shot examples to steer the model's output. Moreover, developers should perform safety testing and target-specific tuning before deploying these models on critical applications. The model also inherits ethical considerations and limitations from its base model. For more information, please refer to *[Granite-3B-Code-Base](https://huggingface.co/ibm-granite/granite-3b-code-base)* model card.
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