Update README.md

README.md

@@ -133,8 +133,11 @@ Please check the examples we provided: https://huggingface.co/Pinkstack/SuperTho
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/QDHJhI0EVT_L9AHY_g3Br.png)
 Beats qwen/qwq at MATH & MuSR (MuSR being a reasoning benchmark)
 Evaluation:
-![eval](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/Dk-HD4wrS54r0lYlOF1Bz.png)
-Please note, the low IFEVAL results is probably due to it always reasoning, it does have issues with instruction following. 
+
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+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/csbdGKzGcDVMPRqMCoH8D.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/HR9WtjBhE4h6wrq88FLAf.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6710ba6af1279fe0dfe33afe/GLt4ct4yAVMvYEpoYO5o6.png)
 
 Unlike previous models we've uploaded, this one is the best one we've published! Answers in two steps: Reasoning -> Final answer like o1 mini and other similar reasoning ai models.  
 # 🧀 Which quant is right for you? (all tested!)
@@ -145,6 +148,7 @@ Unlike previous models we've uploaded, this one is the best one we've published!
 # [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)!
+Please note, the low IFEVAL results is probably due to it always reasoning, it does have issues with instruction following. 
 
 |      Metric       |Value (%)|
 |-------------------|--------:|