Update README.md

README.md

@@ -114,18 +114,6 @@ 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.
 
-# Evaluations
-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                |
-
-The script used for evaluation can be found inside this repository under /eval.sh, or click [here](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite/blob/main/eval).
 # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
 Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_arcee-ai__Llama-3.1-SuperNova-Lite)