Update README.md

README.md

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 # Model Card for Minerva-7B-instruct-v1.0
 
 Minerva is the first family of **LLMs pretrained from scratch on Italian** developed by [Sapienza NLP](https://nlp.uniroma1.it)
-in collaboration with [Future Artificial Intelligence Research (FAIR)](https://fondazione-fair.it/) and [CINECA](https://www.cineca.it/).
+in the context of the [Future Artificial Intelligence Research (FAIR)](https://fondazione-fair.it/) project, in collaboration with [CINECA](https://www.cineca.it/) and with additional contributions from [Babelscape](https://babelscape.com) and the CREATIVE PRIN Project.
 Notably, the Minerva models are truly-open (data and model) Italian-English LLMs, with approximately half of the pretraining data 
 including Italian text.
 
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 ## The Sapienza NLP Team
 
 ### 🧭 Project Lead and Coordination
-* __Roberto Navigli__: project lead and coordinator of the [FAIR Transversal Project 2](https://fondazione-fair.it/transversal-projects/tp2-vision-language-and-multimodal-challenges/), director of the [Sapienza NLP Group](https://nlp.uniroma1.it), full professor at Sapienza University of Rome; model analysis, evaluation and selection, safety and guardrailing, dialogue.
+* __Roberto Navigli__: project lead and coordination; model analysis, evaluation and selection, safety and guardrailing, conversations.
 
 ### 🤖 Model Development
 * __Edoardo Barba__: pre-training, post-training, data analysis, prompt engineering.
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 ## Acknowledgments
 
-This work was funded by the PNRR MUR project [PE0000013-FAIR](https://fondazione-fair.it) and the CREATIVE project, which is funded by the MUR Progetti di
+This work was funded by the PNRR MUR project [PE0000013-FAIR](https://fondazione-fair.it) and the CREATIVE PRIN project, which is funded by the MUR Progetti di
 Rilevante Interesse Nazionale programme (PRIN 2020).
 We acknowledge the [CINECA](https://www.cineca.it) award "IscB_medit" under the ISCRA initiative for the availability of high-performance computing resources and support.