Text Generation
GGUF
English
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
science fiction
romance
all genres
story
writing
vivid prosing
vivid writing
fiction
roleplaying
full precision
float 32
ultra quality
swearing
extreme swearing
neo class v2
imatrix quants
rp
graphic horror
horror
nsfw
llama3
Not-For-All-Audiences
mergekit
Inference Endpoints
imatrix
conversational
Update README.md
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README.md
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@@ -138,14 +138,22 @@ Here is the standard LLAMA3 template:
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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".
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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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Please note that this model will NOT reject any request.
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<B>Settings / Known Issue(s) and Fix(es):</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".
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This is a relatively rare issue which may or may not appear.
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The cause (imat version) is in part due to the Imatrix Neo Dataset being extraordinarily strong.
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It brings out the best and sometimes some of the worse in any model. In other words it highlights both.
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Regenerating the output will often fix this issue.
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AND/OR
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Setting the "Repeat Penality" to at/around 1.0-1.12
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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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