Update README.md

README.md

@@ -49,18 +49,18 @@ The DARK HORROR NEO Imatrix datasets does the following:
 - In some cases increase instruction following of the model (ie story, and prose).
 - Brings a sense of impending "horror", THEN brings the "horror".
 
-I created 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. 
+I created the HORROR datasets 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 an ultra compact form - perfect for an Imatrix NEO class dataset.
 
-These datasets have been tested on Command-R, Llama 3, Llama 3.1, Mistral Nemo and others. In all cases these "DARK HORROR" NEO class datasets move the model into "horror territory" so to speak.
+These Horror datasets have been tested on Command-R, Llama 3, Llama 3.1, Mistral Nemo and others. In all cases these "DARK HORROR" NEO class datasets move the model into "horror territory" so to speak.
 
 A NEO Class dataset is a imatrix dataset formatted and calibrated to have maximum effect on a model. This process is a result 
 of a "deep dive" into testing several Imatrix datasets and measuring the different effects, making changes, and noting effects.
 
 Please note this process is not the same (level) 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.
+That being said, if you are looking for intense, visceral and NSFW horror then the "Grand Horror 16B" (and it's brothers and sisters)
+is the way to go:
 
 [ https://huggingface.co/DavidAU/L3-Stheno-Maid-Blackroot-Grand-HORROR-16B-GGUF ] 
 
@@ -70,7 +70,7 @@ However, if you want a little more horror, a little more darkness in "Command-R"
 
 Two versions of the DARK HORROR dataset were used for each quant.
 
-These are labeled with "V1" and "V2" accordingly.
+These are labeled in the filenames with "V1" and "V2" accordingly.
 
 I suggest downloading both (of the same quant) and test in your use case(s).