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  At Pleias, we continue to research and develop improved methods for creating safer and more equitable models and datasets. This includes ongoing work in toxicity reduction, bias mitigation, and the development of more sophisticated ethical filtering techniques.
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  ## Update
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  Pleias-3b-Preview is currently released as an early preview.
 
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  At Pleias, we continue to research and develop improved methods for creating safer and more equitable models and datasets. This includes ongoing work in toxicity reduction, bias mitigation, and the development of more sophisticated ethical filtering techniques.
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+ ## Acknowledgements
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+ This work would not have been possible without the substantial support from étalab.
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+ The training was conducted as part of the Grand Challenge of GENCI, aligned with the European strategy for establishing AI factories through the EuroHPC Joint Undertaking, aimed at supporting European startups and providing open-source models to the community.
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+ We express our gratitude to GENCI's Jean Zay supercomputer, France's AI flagship facility, which was instrumental in our model's training. The project benefited from the new NVIDIA H100 partition specifically dedicated to the French AI community. We appreciate the generous allocation of compute hours over five months and the invaluable technical expertise provided by IDRIS, EVIDEN, and NVIDIA (as well as its Inception program).
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+ We are deeply grateful to the Mozilla Foundation Local AI Program for their generous support.
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+ Finally, we acknowledge the significant contributions from the open science LLM community, particularly HuggingFace, Eleuther AI and Allen AI whose insights and cooperation have been invaluable to our work.
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  ## Update
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  Pleias-3b-Preview is currently released as an early preview.