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@@ -29,6 +29,7 @@ To achieve this, the [glaiveai/reasoning-v1-20m](https://huggingface.co/datasets
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  ## How were these adapters developed?
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  These adapters make use of the RS-LoRA finetuning method, trained locally on a Tesla P40. A rank of 64 and an alpha of 32 were utilized.
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  In addition, the following modules were targeted: ""q_proj", "v_proj", "k_proj", "out_proj", "fc1", "fc2"", including FC1 and FC2 due to the OPT architecture.
 
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  ## License
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  Mozilla Public License 2.0 Modified with CC. See license.md.
 
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  ## How were these adapters developed?
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  These adapters make use of the RS-LoRA finetuning method, trained locally on a Tesla P40. A rank of 64 and an alpha of 32 were utilized.
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  In addition, the following modules were targeted: ""q_proj", "v_proj", "k_proj", "out_proj", "fc1", "fc2"", including FC1 and FC2 due to the OPT architecture.
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+ The adapters were then merged back into their FP16 base model before being quantized.
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  ## License
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  Mozilla Public License 2.0 Modified with CC. See license.md.