Update README.md

README.md

@@ -45,6 +45,54 @@ pipeline_tag: text-generation
 This model was converted to GGUF format from [`DavidAU/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B`](https://huggingface.co/DavidAU/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/DavidAU/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B) for more details on the model.
 
+---
+Context : 128k.
+
+
+Required: Llama 3 Instruct template.
+
+
+"Dark Reasoning" is a variable control reasoning model that is uncensored and operates at all temps/settings and
+is for creative uses cases and general usage.
+
+
+This is version 2, MOE. 
+
+
+This one is... wild - 4 example generations below.
+
+
+This is the MOE version - 32B (4X8B) - consisting of four 8B models 
+converted to DeepHermes reasoning in a MOE (Mixture of Experts) config
+which results in a 25B "weight" model, that actually has 32B parameters.
+ All four reasoning models / experts are activated.
+
+
+This version's "thinking"/"reasoning" has been "darkened" by FOUR 
+source models (see model tree) model's DNA and will also be shorter 
+and more compressed. Additional system prompts below to take this a lot 
+further - a lot darker, a lot more ... evil.
+
+
+Higher temps will result in deeper, richer "thoughts"... and frankly more interesting ones too.
+
+
+With the MOE setup, this model's thinking/output is even stronger.
+
+
+The "thinking/reasoning" tech (for the model at this repo) is from the original Llama 3.1 "DeepHermes" model from NousResearch:
+
+
+[ https://huggingface.co/NousResearch/DeepHermes-3-Llama-3-8B-Preview ] 
+
+
+This version will retain all the functions and features of the 
+original "DeepHermes" model at about 50%-67% of original reasoning 
+power. 
+Please visit their repo for all information on features, test results 
+and so on.
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)