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README.md
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# Training details
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For more details about the training protocol of this model, please refer to the [Falcon-H1 technical blogpost](https://falcon-lm.github.io/blog/falcon-h1/).
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# Usage
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# Useful links
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- View [our release blogpost](https://falcon-lm.github.io/blog/falcon-h1/).
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- Feel free to join [our discord server](https://discord.gg/trwMYP9PYm) if you have any questions or to interact with our researchers and developers.
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# Citation
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If the Falcon-H1 family of models were helpful to your work, feel free to give us a cite.
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```
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@
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title
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year = {2025}
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```
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# Training details
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For more details about the training protocol of this model, please refer to the [Falcon-H1 technical blogpost](https://falcon-lm.github.io/blog/falcon-h1/) and [Technical Report](https://arxiv.org/abs/2507.22448).
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# Usage
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# Useful links
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- View [our release blogpost](https://falcon-lm.github.io/blog/falcon-h1/).
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- View [our technical report](https://arxiv.org/abs/2507.22448).
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- Feel free to join [our discord server](https://discord.gg/trwMYP9PYm) if you have any questions or to interact with our researchers and developers.
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# Citation
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If the Falcon-H1 family of models were helpful to your work, feel free to give us a cite.
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```
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@article{falconh1,
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title={Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance},
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author={Jingwei Zuo and Maksim Velikanov and Ilyas Chahed and Younes Belkada and Dhia Eddine Rhayem and Guillaume Kunsch and Hakim Hacid and Hamza Yous and Brahim Farhat and Ibrahim Khadraoui and Mugariya Farooq and Giulia Campesan and Ruxandra Cojocaru and Yasser Djilali and Shi Hu and Iheb Chaabane and Puneesh Khanna and Mohamed El Amine Seddik and Ngoc Dung Huynh and Phuc Le Khac and Leen AlQadi and Billel Mokeddem and Mohamed Chami and Abdalgader Abubaker and Mikhail Lubinets and Kacper Piskorski and Slim Frikha},
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journal = {arXiv preprint arXiv:2507.22448},
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year={2025}
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}
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```
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