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@@ -86,11 +86,11 @@ This QLoRA was trained on a Lambda Labs 1x H100 80GB GPU instance.
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  ## Citation
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- -Llama 2 (Meta AI) for the base model.
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- -Farouk E / Far El: https://twitter.com/far__el for helping with all my silly questions about QLoRA
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- -Lambda Labs for the compute. The model itself only took a few hours to train, but it took me days to learn how to tie everything together.
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- -Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer for QLoRA + implementation on github: https://github.com/artidoro/qlora/
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- -@eugene-yh and @jinyongyoo on Github + @ChrisHayduk for the QLoRA merge: https://gist.github.com/ChrisHayduk/1a53463331f52dca205e55982baf9930
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  ## Model Card Contact
 
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  ## Citation
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+ - Llama 2 (Meta AI) for the base model.
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+ - Farouk E / Far El: https://twitter.com/far__el for helping with all my silly questions about QLoRA
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+ - Lambda Labs for the compute. The model itself only took a few hours to train, but it took me days to learn how to tie everything together.
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+ - Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer for QLoRA + implementation on github: https://github.com/artidoro/qlora/
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+ - @eugene-yh and @jinyongyoo on Github + @ChrisHayduk for the QLoRA merge: https://gist.github.com/ChrisHayduk/1a53463331f52dca205e55982baf9930
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  ## Model Card Contact