model card

README.md

@@ -160,6 +160,19 @@ Fireplace is built on top of Llama 3 70b Instruct, the highest performance open-
 
 This version of Fireplace uses the [glaiveai/glaive-function-calling-v2](https://huggingface.co/datasets/glaiveai/glaive-function-calling-v2) dataset converted to Llama 3 Instruct format.
 
+# [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_ValiantLabs__Llama3-70B-Fireplace)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |36.82|
+|IFEval (0-Shot)    |77.74|
+|BBH (3-Shot)       |49.56|
+|MATH Lvl 5 (4-Shot)|19.64|
+|GPQA (0-shot)      |13.98|
+|MuSR (0-shot)      |16.77|
+|MMLU-PRO (5-shot)  |43.25|
+
 
 
 ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
@@ -175,16 +188,3 @@ We care about open source.
 For everyone to use.
 
 We encourage others to finetune further from our models.
-# [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_ValiantLabs__Llama3-70B-Fireplace)
-
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               |36.82|
-|IFEval (0-Shot)    |77.74|
-|BBH (3-Shot)       |49.56|
-|MATH Lvl 5 (4-Shot)|19.64|
-|GPQA (0-shot)      |13.98|
-|MuSR (0-shot)      |16.77|
-|MMLU-PRO (5-shot)  |43.25|
-