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README.md
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<!-- You can find a variant of this model published under the Apache 2.0 license at [OpenLLM-France/Claire-7B-Apache-0.1](https://huggingface.co/OpenLLM-France/Claire-7B-Apache-0.1). -->
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## Acknowledgements
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This work was performed using HPC resources from GENCI–IDRIS (Grant 2023-AD011014561).
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Claire-7B-EN-0.1 was created by members of [LINAGORA](https://labs.linagora.com/) (in alphabetical order)
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Special thanks to partners from the OpenLLM-France community, especially Christophe Cerisara (LORIA), Pierre-Carl Langlais and Anastasia Stasenko (OpSci), and Pierre Colombo, for valuable advice.
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<!-- You can find a variant of this model published under the Apache 2.0 license at [OpenLLM-France/Claire-7B-Apache-0.1](https://huggingface.co/OpenLLM-France/Claire-7B-Apache-0.1). -->
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## Citation
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When using the Claire family of models, please cite the following paper:
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Jérôme Louradour, Julie Hunter, Ismaïl Harrando, Guokan Shang, Virgile Rennard & Jean-Pierre Lorré (2024). [Claire: Large Language Models for Spontaneous French Dialogue](https://aclanthology.org/2024.jeptalnrecital-taln.36.pdf). In Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1: articles longs et prises de position (pp. 530-548).
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```bibtex
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@inproceedings{louradour2024claire,
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title={Claire: Large Language Models for Spontaneous French Dialogue},
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author={Louradour, J{\'e}r{\^o}me and Hunter, Julie and Harrando, Isma{\"\i}l and Shang, Guokan and Rennard, Virgile and Lorr{\'e}, Jean-Pierre},
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booktitle={Actes de la 31{\`e}me Conf{\'e}rence sur le Traitement Automatique des Langues Naturelles, volume 1: articles longs et prises de position},
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pages={530--548},
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year={2024}
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}
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```
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## Acknowledgements
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This work was performed using HPC resources from GENCI–IDRIS (Grant 2023-AD011014561).
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Claire-7B-EN-0.1 was created by members of [LINAGORA](https://labs.linagora.com/) (in alphabetical order).
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Special thanks to partners from the OpenLLM-France community, especially Christophe Cerisara (LORIA), Pierre-Carl Langlais and Anastasia Stasenko (OpSci), and Pierre Colombo, for valuable advice.
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