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| title: README | |
| emoji: 💻 | |
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| colorTo: yellow | |
| sdk: static | |
| pinned: false | |
| <div align="center"> | |
| <img src="https://github.com/Andrew-Wyn/images/blob/master/sava/italian_adapt-img.jpg?raw=true" width="400" style="border-radius:10%"/> | |
| <br> | |
| This is the official space for the paper: "Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation" | |
| [](https://2025.naacl.org/) | |
| [](https://arxiv.org/abs/2504.17025v1) | |
| [](https://creativecommons.org/licenses/by-nc-sa/4.0/) | |
| [](https://huggingface.co/collections/SemanticAlignment/mistral-7b-v01-adapted-679243206cec8a21f75435dd) | |
| [](https://huggingface.co/collections/SemanticAlignment/llama-31-adapted-67924314d8957c78a3e7bcaf) | |
| </div> | |
| This space is shared between three Italian institutions that led the work: | |
| - [SapienzaNLP](https://nlp.uniroma1.it/) -- Sapienza university of Rome | |
| - [Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo"](https://www.isti.cnr.it/it/) -- CNR Pisa | |
| - [Istituto di Linguistica Computazionale "A. Zampolli"](https://www.ilc.cnr.it/) -- CNR Pisa |