Update README.md

README.md

@@ -122,6 +122,18 @@ I made it due to popular demand but I haven't tested it so use it at your own ri
 
 It might be good for creative writing tasks. I recommend a context length of 32k but you can go up to 131,072 tokens in theory.
 
+## 🏆 Evaluation
+
+|      Metric       |BigQwen2.5-Echo-47B-Instruct|**BigQwen2.5-52B-Instruct**|Qwen2.5-32B-Instruct|
+|-------------------|----:|----:|----:|
+|Avg.               |30.31|37.42|36.17|
+|IFEval (0-Shot)    |73.57|79.29|83.46|
+|BBH (3-Shot)       |44.52|59.81|56.49|
+|MATH Lvl 5 (4-Shot)| 3.47|17.82|0|
+|GPQA (0-shot)      | 8.61| 6.94|11.74|
+|MuSR (0-shot)      |10.19|10.45|13.5|
+|MMLU-PRO (5-shot)  |41.49|50.22|51.85|
+
 ## 🧩 Configuration
 
 The following YAML configuration was used to produce this model:
@@ -176,17 +188,4 @@ pipeline = transformers.pipeline(
 
 outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
 print(outputs[0]["generated_text"])
-```
-# [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_mlabonne__BigQwen2.5-52B-Instruct)
-
-|      Metric       |Value|
-|-------------------|----:|
-|Avg.               |37.42|
-|IFEval (0-Shot)    |79.29|
-|BBH (3-Shot)       |59.81|
-|MATH Lvl 5 (4-Shot)|17.82|
-|GPQA (0-shot)      | 6.94|
-|MuSR (0-shot)      |10.45|
-|MMLU-PRO (5-shot)  |50.22|
-
+```