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@@ -4,5 +4,7 @@ license: other
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  license_name: microsoft-research-license
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  ---
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  This model is a fine-tuned version of microsoft/Orca-2-13b on a subset of the Vezora/Mini_Orca_Uncencored_Alpaca dataset, with some particularly spicy prompts added to reduce the risk of rejections.
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- Only the q_proj and k_proj modules were targeted and a low rank (8) was used, in hopes of containing the adjustments to the prompt format and alignment.
 
 
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  I'll test it tomorrow when my GGUF quants are done.
 
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  license_name: microsoft-research-license
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  ---
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  This model is a fine-tuned version of microsoft/Orca-2-13b on a subset of the Vezora/Mini_Orca_Uncencored_Alpaca dataset, with some particularly spicy prompts added to reduce the risk of rejections.
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+ Only the q_proj and k_proj modules were targeted and a low rank (8) was used, in hopes of containing the adjustments to the prompt format and alignment. This is promising on paper, with the training's per-step loss averaging <0.9 for the last third of the run.
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  I'll test it tomorrow when my GGUF quants are done.