Update README.md


README.md

@@ -11,12 +11,13 @@ language:
 base_model: agentica-org/DeepScaleR-1.5B-Preview
 tags:
 - llama-cpp
-- gguf-my-repo
 ---
 
-# fuzzy-mittenz/DeepScaleR-1.5B-Preview-Q8_0-GGUF
+# IntelligentEstate/Tiny_Rabbit-R1-Q8_0-GGUF
 
-## This is a reasoning model, it has a unique ability to reason through the incorperation of NEW information Like deepSeek and o3 with this model you can now choose how to introduce the new information.
+## This is a *Complex* reasoning model, it has a unique ability to reason through the incorperation of *NEW* information. With this model you can now choose how to introduce the new information.
+![white rabbit.png](https://cdn-uploads.huggingface.co/production/uploads/6593502ca2607099284523db/00opTsiF4DDl8x8qttVSa.png)
+Reasoning models operate within their respective Knowledge base. This is helpfull in contextualizing new complex information or introduction of new material. It is rare they exceed the reasoning knowledge base alone. This model excells when re-expressing information from the web or a RAG database. For quick use in Swarm bases this is a great little model when given proper context and instructions. Generally though it increases the knowledge base from -20% thru +10% so verify your application uasage through testing before application. The 1.5B model this is based on has reinforced mathmatical context, increasing the tool use and suprisingly it's short form writing. Enjoy and please leave feedback.
 This model was converted to GGUF format from [`agentica-org/DeepScaleR-1.5B-Preview`](https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview) using llama.cpp 
 Refer to the [original model card](https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview) for more details on the model.