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README.md
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@@ -35,11 +35,11 @@ The decision to release this experimental version was prompted by someone attemp
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Keep an eye out for **V.2**, it's going to be a game-changer! And is currently training, will be done in the next ~24 hours. 🌟Paper Coming Soon🌟
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## Thank you!
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- Thank you to Daniel Han, for Unsloth AI which was used to train this model. this led to a 2-3x speed increae and 2-3x decrease in memmory consumption.
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- Thank you to Charles Coddard, for providng me with a script that was nessary to make this model.
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- Thank you to Mistral, for releasing Another Wonderful open source model, under Apache 2.0.
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- Thank you to Tim Dettmers, for creating QLora
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- Thank you to Tri Dao, for creating Flash Attention
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- Thank you to Microsoft, for the Lora paper, and the Slice-GPT paper.
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- Thank you to the Hugging Face team, for everything.❤️ We really do appreciate you guys and all your hard work and commitment to the open source community!❤️
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Keep an eye out for **V.2**, it's going to be a game-changer! And is currently training, will be done in the next ~24 hours. 🌟Paper Coming Soon🌟
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| 36 |
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| 37 |
## Thank you!
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| 38 |
+
- Thank you to [Daniel Han](https://twitter.com/danielhanchen), for Unsloth AI which was used to train this model. this led to a 2-3x speed increae and 2-3x decrease in memmory consumption.
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| 39 |
+
- Thank you to [Charles Coddard](https://twitter.com/chargoddard), for providng me with a script that was nessary to make this model.
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| 40 |
- Thank you to Mistral, for releasing Another Wonderful open source model, under Apache 2.0.
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| 41 |
+
- Thank you to [Tim Dettmers](https://twitter.com/Tim_Dettmers), for creating QLora
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| 42 |
+
- Thank you to [Tri Dao](https://twitter.com/tri_dao), for creating Flash Attention
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| 43 |
- Thank you to Microsoft, for the Lora paper, and the Slice-GPT paper.
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| 44 |
- Thank you to the Hugging Face team, for everything.❤️ We really do appreciate you guys and all your hard work and commitment to the open source community!❤️
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| 45 |
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