Update README.md

README.md

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 This model was converted to GGUF format from [`NousResearch/DeepHermes-3-Llama-3-8B-Preview`](https://huggingface.co/NousResearch/DeepHermes-3-Llama-3-8B-Preview) 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/NousResearch/DeepHermes-3-Llama-3-8B-Preview) for more details on the model.
 
+---
+DeepHermes 3 Preview is the latest version of our flagship Hermes 
+series of LLMs by Nous Research, and one of the first models in the 
+world to unify Reasoning (long chains of thought that improve answer 
+accuracy) and normal LLM response modes into one model. We have also 
+improved LLM annotation, judgement, and function calling.
+
+DeepHermes 3 Preview is one of the first LLM models to unify both "intuitive", traditional mode responses and long chain of thought reasoning responses into a single model, toggled by a system prompt.
+
+Hermes 3, the predecessor of DeepHermes 3, is a generalist language 
+model with many improvements over Hermes 2, including advanced agentic 
+capabilities, much better roleplaying, reasoning, multi-turn 
+conversation, long context coherence, and improvements across the board.
+
+The ethos of the Hermes series of models is focused on aligning LLMs 
+to the user, with powerful steering capabilities and control given to 
+the end user.
+
+This is a preview Hermes with early reasoning capabilities, 
+distilled from R1 across a variety of tasks that benefit from reasoning 
+and objectivity. Some quirks may be discovered! Please let us know any 
+interesting findings or issues you discover!
+
+Note: To toggle REASONING ON, you must use the following system prompt:
+
+You are a deep thinking AI, you may use extremely long chains of thought to deeply consider the problem and deliberate with yourself via systematic reasoning processes to help come to a correct solution prior to answering. You should enclose your thoughts and internal monologue inside <think> </think> tags, and then provide your solution or response to the problem.
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)