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  - mergekit
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  pipeline_tag: text-generation
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  ---
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- (quants uploading...)
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-
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  <h3><font color="green"> L3-Grand-STORY-16.5B Ultra Quality - A triple model, triple step merge at Full Precision F32. Imatrix Neo Class 2. </font></h3>
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  <B><font color="red">WARNING:</font> NSFW. Ultra Detailed. Graphic HORROR, VIOLENCE. Extreme swearing. UNCENSORED. SMART.</B>
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  Please note that this model will NOT reject any request.
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  <B>REGULAR QUANTS OF THIS MODEL: </b>
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  [ https://huggingface.co/DavidAU/L3-SMB-Grand-STORY-F32-Ultra-Quality-16.5B-GGUF ]
 
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  - mergekit
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  pipeline_tag: text-generation
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  ---
 
 
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  <h3><font color="green"> L3-Grand-STORY-16.5B Ultra Quality - A triple model, triple step merge at Full Precision F32. Imatrix Neo Class 2. </font></h3>
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  <B><font color="red">WARNING:</font> NSFW. Ultra Detailed. Graphic HORROR, VIOLENCE. Extreme swearing. UNCENSORED. SMART.</B>
 
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  Please note that this model will NOT reject any request.
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+ <B>Known Issue(s):</B>
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+ I noticed a few runs with imat version with "self created words" (although not as strong as Grand Horror 16.5B).
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+ The non-imat version of Grand Story has a lot less "misspellings". This is in part due to the Imatrix Neo Dataset
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+ being extraordinarily strong. It brings out the best and sometimes some of the worse in a model. In other words it highlights both.
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+ Regenerating the output will often fix this issue.
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+ X quants should also address this issue (controls level of Imatrix applied) which will be releasing shortly.
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+ These specialized quants will appear in a separate repo.
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  <B>REGULAR QUANTS OF THIS MODEL: </b>
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  [ https://huggingface.co/DavidAU/L3-SMB-Grand-STORY-F32-Ultra-Quality-16.5B-GGUF ]