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- ---
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- license: mit
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- datasets:
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- - tiiuae/falcon-refinedweb
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- language:
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- - en
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ## Description
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ Models trained on 300B tokens, including dense FFN ones and low-rank FFN ones.
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+
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+
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+
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+ ## Citation
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+
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+ If you find it useful, please consider citing the paper:
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+
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+ ```
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+ @article{wei2024building,
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+ title={Building on efficient foundations: Effective training of LLMs with structured feedforward layers},
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+ author={Wei, Xiuying and Moalla, Skander and Pascanu, Razvan and Gulcehre, Caglar},
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+ journal={Advances in Neural Information Processing Systems},
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+ volume={37},
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+ pages={4689--4717},
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+ year={2024}
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+ }
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+
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+ @article{wei2024investigating,
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+ title={Investigating low-rank training in transformer language models: Efficiency and scaling analysis},
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+ author={Wei, Xiuying and Moalla, Skander and Pascanu, Razvan and Gulcehre, Caglar},
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+ journal={arXiv preprint arXiv:2407.09835},
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+ year={2024}
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+ }
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+ ```