Update README.md

README.md

@@ -38,24 +38,24 @@ The following YAML configuration was used to produce this model:
 models:
   - model: qingy2019/Qwen2.5-Math-14B-Instruct
     parameters:
-      weight: 0.35      # Strong performance in GPQA, MUSR, and MMLU-PRO
-      density: 0.6      # Retain 60% of significant parameters
+      weight: 0.35
+      density: 0.6
   - model: arcee-ai/Virtuoso-Small
     parameters:
-      weight: 0.30      # Exceptional IFEval and MATH Level 5 capabilities
-      density: 0.6      # Retain 60% of significant parameters
+      weight: 0.30
+      density: 0.6
   - model: CultriX/Qwen2.5-14B-MegaMerge-pt2
     parameters:
-      weight: 0.20      # Balanced contributions to Truthful QA and MMLU
-      density: 0.5      # Retain 50% of significant parameters
+      weight: 0.20
+      density: 0.5
   - model: CultriX/SeQwence-14B
     parameters:
-      weight: 0.15      # Provides diverse data and generalization
-      density: 0.4      # Retain 40% of significant parameters
+      weight: 0.15
+      density: 0.4
   - model: v000000/Qwen2.5-Lumen-14B
     parameters:
-      weight: 0.10      # Enhances creative and narrative tasks
-      density: 0.5      # Retain 50% for task diversity
+      weight: 0.10
+      density: 0.5
 base_model: Qwen/Qwen2.5-14B
 merge_method: dare_ties
 parameters: