**To participate in this competition, you must create and share a public Kaggle Notebook**  that demonstrates how to use the [Gemma](https://www.kaggle.com/models/google/gemma-2) model for various languages and/or cultural contexts AND **publish your variant to Kaggle models.** Your Kaggle Notebook must be made public (along with any underlying data sources) and it should be attached to the official competition dataset. All team members must be listed as collaborators on the notebook, and the notebook must be submitted via the [Google Form](https://www.kaggle.com/gemma-language-tuning-submissions). All submissions will be assessed initially according to the eligibility criteria, and all eligible submissions will be scored according to the evaluation rubric. We will grade the most recent submission from your team .

##To submit to this competition fill out the Google Form [here](https://www.kaggle.com/gemma-language-tuning-submissions).
**General Tips:**
 - Follow the guidelines as closely as possible and avoid working outside of the guidelines.
 - Make it obvious what you did, why you did it, and what category you are submitting to.
 - Make it as easy as possible for the graders to understand what you are doing.
 - Make it as easy as possible for the graders to understand why you did a good job.