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@@ -46,9 +46,8 @@ The DARK HORROR NEO Imatrix datasets does the following:
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  - in some cases increase instruction following of the model.
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  - bring a sense of impending "horror"
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- The HORROR datasets were created using Grand Horror 16B using 90+ different horror prompts for generation.
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-
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- This created incredibility intense horror stories in compact form - perfect for an Imatrix dataset.
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  These datasets have been tested on Command-R, Llama 3, Llama 3.1, Mistral Nemo and others.
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@@ -59,11 +58,15 @@ I want to be clear this process is not the same as a "fine tune", it is lighter
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  And if you are looking for intense, visceral and NSFW horror then the "Grand Horror model" (and it's brothers and sisters)
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  is the way to go.
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- But if you want a little more horror, a little more darkness in "Command-R" then this may be your model.
 
 
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  Two versions of the DARK HORROR dataset were used for each quant.
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- I suggest downloading both (of the same quant) and test in your use cases.
 
 
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  - More updates coming -
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  - in some cases increase instruction following of the model.
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  - bring a sense of impending "horror"
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+ The HORROR datasets were created using <A href="https://huggingface.co/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B-GGUF">Grand Horror 16B</a> using 90+ different horror prompts for generation.
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+ This created an incredibility intense horror stories in compact form - perfect for an Imatrix dataset.
 
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  These datasets have been tested on Command-R, Llama 3, Llama 3.1, Mistral Nemo and others.
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  And if you are looking for intense, visceral and NSFW horror then the "Grand Horror model" (and it's brothers and sisters)
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  is the way to go.
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+ [ https://huggingface.co/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B-GGUF ] (links to other versions on this page)
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+
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+ However, if you want a little more horror, a little more darkness in "Command-R" - which is a great story telling model - then this may be your model.
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  Two versions of the DARK HORROR dataset were used for each quant.
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+ I suggest downloading both (of the same quant) and test in your use case(s).
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+
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+ The "flavoring" each brings to Command-R will differ slightly.
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  - More updates coming -
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