Update README.md

README.md

@@ -19,15 +19,16 @@ 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.
 
 # Evaluations
-We will be submitting this model to the OpenLLM Leaderboard for a more conclusive benchmark - but here are our internal benchmarks (these will be updated as they come in):
-
-| Benchmark | Score |
-|-----------|-------|
-| IF_Eval   | 81.1  |
-| MMLU Pro  | 38.7  |
-| TruthfulQA| 64.4  |
-| BBH       | 51.1 |
-| GPQA      | 31.2 |
+We will be submitting this model to the OpenLLM Leaderboard for a more conclusive benchmark - but here are our internal benchmarks using the main branch of lm evaluation harness:
+
+| Benchmark   | SuperNova-Lite | Llama-3.1-8b-Instruct |
+|-------------|----------------|----------------------|
+| IF_Eval     | 81.1           | 77.4                 |
+| MMLU Pro    | 38.7           | 37.7                 |
+| TruthfulQA  | 64.4           | 55.0                 |
+| BBH         | 51.1           | 50.6                 |
+| GPQA        | 31.2           | 29.02                |
+
 
 
 # note