Update README.md

README.md

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 This model was converted to GGUF format from [`cognitivecomputations/Dolphin3.0-Mistral-24B`](https://huggingface.co/cognitivecomputations/Dolphin3.0-Mistral-24B) 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/cognitivecomputations/Dolphin3.0-Mistral-24B) for more details on the model.
 
+---
+*Updated 16/02/25*
+
+What is Dolphin?
+-
+Dolphin 3.0 is the next generation of the Dolphin series of instruct-tuned models.
+Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.
+
+Dolphin aims to be a general purpose instruct model, similar to the models behind ChatGPT, Claude, Gemini.
+But these models present problems for businesses seeking to include AI in their products.
+
+They maintain control of the system prompt, deprecating and changing things as they wish, often causing software to break.
+They maintain control of the model versions, sometimes changing things silently, or deprecating older models that your business relies on.
+
+They maintain control of the alignment, and in particular the alignment is one-size-fits all, not tailored to the application.
+They can see all your queries and they can potentially use that data in ways you wouldn't want.
+Dolphin, in contrast, is steerable and gives control to the system owner.
+You set the system prompt.
+You decide the alignment.
+You have control of your data.
+Dolphin does not impose its ethics or guidelines on you.
+You are the one who decides the guidelines.
+
+Dolphin belongs to YOU, it is your tool, an extension of your will.
+Just as you are personally responsible for what you do with a knife, 
+gun, fire, car, or the internet, you are the creator and originator of 
+any content you generate with Dolphin.
+
+https://erichartford.com/uncensored-models
+
+Recommended Temperature
+-
+Experimentally we note that Mistral-24B based models require a low 
+temperature.  We have seen much better results in the range of 0.05 to 
+0.1.
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)