Update README.md

README.md

@@ -135,9 +135,19 @@ This model is suitable for a wide range of applications, including but not limit
 Coming soon!
 
 
-# 🏆 [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+# 🏆 [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_MaziyarPanahi__calme-2.1-rys-78b)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |44.14|
+|IFEval (0-Shot)    |81.36|
+|BBH (3-Shot)       |59.47|
+|MATH Lvl 5 (4-Shot)|36.40|
+|GPQA (0-shot)      |19.24|
+|MuSR (0-shot)      |19.00|
+|MMLU-PRO (5-shot)  |49.38|
 
-Coming soon!
 
 # Prompt Template
 
@@ -182,16 +192,3 @@ model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.1-rys-78b")
 # Ethical Considerations
 
 As with any large language model, users should be aware of potential biases and limitations. We recommend implementing appropriate safeguards and human oversight when deploying this model in production environments.
-# [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_MaziyarPanahi__calme-2.1-rys-78b)
-
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               |44.14|
-|IFEval (0-Shot)    |81.36|
-|BBH (3-Shot)       |59.47|
-|MATH Lvl 5 (4-Shot)|36.40|
-|GPQA (0-shot)      |19.24|
-|MuSR (0-shot)      |19.00|
-|MMLU-PRO (5-shot)  |49.38|
-