Update README.md

README.md

@@ -120,16 +120,6 @@ The model was trained using a state-of-the-art distillation pipeline and an inst
 Llama-3.1-SuperNova-Lite excels in both benchmark performance and real-world applications, providing the power of large-scale models in a more compact, efficient form ideal for organizations seeking high performance with reduced resource requirements.
 Open LLM Leaderboard Evaluation Results
 
-Detailed results can be found here
-Metric 	Value
-Avg. 	29.73
-IFEval (0-Shot) 	80.17
-BBH (3-Shot) 	31.57
-MATH Lvl 5 (4-Shot) 	15.48
-GPQA (0-shot) 	7.49
-MuSR (0-shot) 	11.67
-MMLU-PRO (5-shot) 	31.97
-
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 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)