Model naming

README.md

@@ -11,9 +11,9 @@ We’re thrilled to introduce RefuelLLM-2 and RefuelLLM-2-small, the next versio
 
 1. RefuelLLM-2 (83.82%) outperforms all state-of-the-art LLMs, including GPT-4-Turbo (80.88%), Claude-3-Opus (79.19%) and Gemini-1.5-Pro (74.59%), across a benchmark of ~30 data labeling tasks.
 2. RefuelLLM-2 is a Mixtral-8x7B base model, trained on a corpus of 2750+ datasets, spanning tasks such as classification, reading comprehension, structured attribute extraction and entity resolution.
-3. RefuelLLM-2-small (79.67%) outperforms all comparable LLMs including Claude3-Sonnet (70.99%), Haiku (69.23%) and GPT-3.5-Turbo (68.13%). The model was trained with the same recipe as RefuelLLM-2, but on top of Llama3-8B base. 
+3. RefuelLLM-2-small (79.67%), aka Llama-3-Refueled,  outperforms all comparable LLMs including Claude3-Sonnet (70.99%), Haiku (69.23%) and GPT-3.5-Turbo (68.13%). The model was trained with the same recipe as RefuelLLM-2, but on top of Llama3-8B base. 
 
-As a part of this announcement, we are open-sourcing RefuelLLM-2-small (aka Llama-3-Refueled) for the community to build on top of.
+As a part of this announcement, we are open-sourcing RefuelLLM-2-small for the community to build on top of.
 
 **Model developers** Refuel AI