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Command-R-01-Ultra-NEO-DARK-HORROR-V1-V2-35B-IMATRIX-GGUF

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@@ -40,33 +40,38 @@ Files have "V1" or "V2" in the filename.
 The DARK HORROR NEO Imatrix datasets does the following:
-- add a "coating of black paint" to any "Horror" prompt generation.
-- add a "dark tint" to any other creative prompt.
-- increase the intensity of a scene, story, or roleplay interaction.
-- in some cases increase instruction following of the model.
-- bring a sense of impending "horror"
 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.
-This created an incredibility intense horror stories in compact form - perfect for an Imatrix dataset.
 These datasets have been tested on Command-R, Llama 3, Llama 3.1, Mistral Nemo and others.
-In all cases this dataset moves the model into "horror territory" so to speak.
 I want to be clear this process is not the same as a "fine tune", it is lighter than that.
-And if you are looking for intense, visceral and NSFW horror then the "Grand Horror model" (and it's brothers and sisters)
 is the way to go.
-[ https://huggingface.co/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B-GGUF ] (links to other versions on this page)
 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.
 Two versions of the DARK HORROR dataset were used for each quant.
 I suggest downloading both (of the same quant) and test in your use case(s).
-The "flavoring" each brings to Command-R will differ slightly.
 This model requires "Command-R" template, and has a max context of 128k (131,000).

 The DARK HORROR NEO Imatrix datasets does the following:
+- Adds a "coating of black paint" to any "Horror" prompt generation.
+- Adds a "dark tint" to any other creative prompt.
+- Increases the intensity of a scene, story, or roleplay interaction.
+- Increases the raw vividness of prose.
+- In some cases increase instruction following of the model.
+- Brings a sense of impending "horror", THEN brings the "horror".
 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.
+This process created an incredibility intense, visceral and vivid horror stories in compact form - perfect for an Imatrix dataset.
 These datasets have been tested on Command-R, Llama 3, Llama 3.1, Mistral Nemo and others.
+In all cases these datasets move the model into "horror territory" so to speak.
 I want to be clear this process is not the same as a "fine tune", it is lighter than that.
+That being said, if you are looking for intense, visceral and NSFW horror then the "Grand Horror model" (and it's brothers and sisters)
 is the way to go.
+[ https://huggingface.co/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B-GGUF ]
+(links to other versions on this page)
 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.
 Two versions of the DARK HORROR dataset were used for each quant.
+These are labeled with "V1" and "V2" accordingly.
 I suggest downloading both (of the same quant) and test in your use case(s).
+The "flavoring" each brings to Command-R will differ - some slightly, some by a lot - depending on the prompt(s) used / use case(s).
 This model requires "Command-R" template, and has a max context of 128k (131,000).