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README.md
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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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| 88 |
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+
- Llama 2 (Meta AI) for the base model.
|
| 90 |
+
- Farouk E / Far El: https://twitter.com/far__el for helping with all my silly questions about QLoRA
|
| 91 |
+
- 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.
|
| 92 |
+
- Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer for QLoRA + implementation on github: https://github.com/artidoro/qlora/
|
| 93 |
+
- @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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