Update README.md

README.md

@@ -20,7 +20,7 @@ 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 using the main branch of lm evaluation harness:
+Here are our internal benchmarks using the main branch of lm evaluation harness:
 
 | Benchmark   | SuperNova-Lite | Llama-3.1-8b-Instruct |
 |-------------|----------------|----------------------|
@@ -30,7 +30,4 @@ We will be submitting this model to the OpenLLM Leaderboard for a more conclusiv
 | 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.sh)
-
-# note
-This readme will be edited regularly on September 10, 2024 (the day of release). After the final readme is in place we will remove this note.
+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.