Update README.md

README.md

@@ -50,40 +50,35 @@ logic, imagination, and aversion to censorship such as: railroading/gaslighting
 ## Our implementation of Spherical Linear Interpolation for LLM merging: https://github.com/Digitous/LLM-SLERP-Merge
 
 
-## Note: Skip to the TL;DR section for the finalized design this model is comprised of.
+## What Makes Naberius Special?
 
 
+By combining zephyr-7b-sft-beta + OpenHermes-2-Mistral-7B and then dolphin-2.2.1-mistral-7b to the result using a minimally destructive merge technique, preserves a large amount of behavior of all three models in a cohesive fashion.
 
 
-## Language Models and LoRAs Used Credits:
+Naberius can: Do coherent roleplay far and beyond any 7B parameter model ever before, as well as follow instructions exceptionally well, especially for a 7B model and as a bonus for being lightweight, incredible inference speed.
+Naberius has shown some signs of spacial awareness and does adapt to nuance in conversation. All around a pliable, imaginative, and logic oriented 7B that punches upwards to what feels like a 30B or more at times.
 
 
-All models and adapters used are LLaMAv2-13B.
+Naberius can't: walk your dog, do your homework, clean your dishes, tell you to turn off the computer and go to bed on time.
 
-# Models:
 
-Nous-Hermes
+# Ensemble Credits:
 
-Chronos
 
-Platypus
+All models merged to create are LLaMAv2-7B Mistral-7B Series.
 
-Airoboros
 
-Holodeck
+zephyr-7b-sft-beta
 
-# Adapters:
 
-Kimiko
+OpenHermes-2-Mistral-7B
 
-Janine
 
-LIMA RP
+dolphin-2.2.1-mistral-7b
 
 
-Also thanks to Meta for LLaMAv2 and deciding to allow the research community at large to benefit from their incredible work.
+Thanks to Mistral AI for the amazing Mistral LM - and also thanks to Meta for LLaMAv2.
 
-
-Each model and LoRA was hand picked and considered for what it could contribute to this ensemble.
 Thanks to each and every one of you for your incredible work developing some of the best things
 to come out of this community.