Text Generation
GGUF
English
creative
creative writing
fiction writing
plot generation
sub-plot generation
story generation
scene continue
storytelling
fiction story
story
writing
fiction
roleplaying
horror
general usage
roleplay
neo quant
fantasy
story telling
ultra high precision
Inference Endpoints
imatrix
conversational
Update README.md
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README.md
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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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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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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
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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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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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The "flavoring" each brings to Command-R will differ slightly.
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- More updates coming -
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