Update README.md

README.md

@@ -148,6 +148,20 @@ It is recommended to use a system prompt like this one:
 You are a helpful ai assistant. Make sure to put your finalanswer at the end. 
 ```
 
+# [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/Pinkstack__SuperThoughts-CoT-14B-16k-o1-QwQ-details)!
+Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=Pinkstack%2FSuperThoughts-CoT-14B-16k-o1-QwQ&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
+
+|      Metric       |Value (%)|
+|-------------------|--------:|
+|**Average**        |    31.17|
+|IFEval (0-Shot)    |     5.15|
+|BBH (3-Shot)       |    52.85|
+|MATH Lvl 5 (4-Shot)|    40.79|
+|GPQA (0-shot)      |    19.02|
+|MuSR (0-shot)      |    21.79|
+|MMLU-PRO (5-shot)  |    47.43|
+
 # 🧀 Examples:
 (q4_k_m, 10GB rtx 3080, 64GB memory, running inside of MSTY, all use "You are a friendly ai assistant." as the System prompt.)
 **example 1:**
@@ -175,17 +189,5 @@ All generated locally and pretty quickly too! 😲 Due to our very limited resou
 - **Finetuned from model :** microsoft/phi-4
 
 This phi-4 model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-# [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/Pinkstack__SuperThoughts-CoT-14B-16k-o1-QwQ-details)!
-Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=Pinkstack%2FSuperThoughts-CoT-14B-16k-o1-QwQ&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
 
-|      Metric       |Value (%)|
-|-------------------|--------:|
-|**Average**        |    31.17|
-|IFEval (0-Shot)    |     5.15|
-|BBH (3-Shot)       |    52.85|
-|MATH Lvl 5 (4-Shot)|    40.79|
-|GPQA (0-shot)      |    19.02|
-|MuSR (0-shot)      |    21.79|
-|MMLU-PRO (5-shot)  |    47.43|