Update README.md

README.md

@@ -263,15 +263,3 @@ We train the Granite Code models using two of IBM's super computing clusters, na
 
 ## Ethical Considerations and Limitations
 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.
-
-## Citation
-```
-@misc{granite-models,
-  author = {author 1, author2, ...},
-  title = {Granite Code Large Language Models: IBM Foundation Models for Code},
-  journal = {},
-  volume = {},
-  year = {2024},
-  url = {https://arxiv.org/abs/0000.00000},
-}
-```