Update README.md

README.md

@@ -91,14 +91,6 @@ The dataset consists of 720 samples:
 ### Evaluation Code & Criteria.
 The full evaluation pipeline, judge setup, and per-certierion scoring logic, is available on [GitHub](https://github.com/IBM/nc-bench).
 
-Note: Model abbreviations:
-- granite-2B = granite-3.3-2b-inst
-- granite-8B = granite-3.3-8b-inst
-- Llama-3B = Llama-3.2-3B-Inst
-- Llama-8B = Llama-3.1-8B-Inst
-- Qwen-3B = Qwen2.5-3B-Inst
-- Qwen-7B = Qwen2.5-7B-Inst
-
 - Qwen-3B achieves the highest conversation competence on the Basic set with 82.22%.
 - Granite-8B performs best on the RAG set with 77.77%.
 - Granite-2B performs best on the Complex Request set with 80.15% accuracy.
@@ -113,6 +105,13 @@ Note: Model abbreviations:
 | Qwen-3B    | **82.22** | 75.55     | 62.19               |
 | Qwen-7B    | 80.55     | 73.88     | 76.06               |
 
+Note: Model abbreviations:
+- granite-2B = granite-3.3-2b-inst
+- granite-8B = granite-3.3-8b-inst
+- Llama-3B = Llama-3.2-3B-Inst
+- Llama-8B = Llama-3.1-8B-Inst
+- Qwen-3B = Qwen2.5-3B-Inst
+- Qwen-7B = Qwen2.5-7B-Inst
 
 ## Reference