Update README.md

README.md

@@ -135,20 +135,20 @@ MonarchCoder-7B is a slerp merge of the following models using [LazyMergekit](ht
 The main aim behind creating this model is to create a model that performs well in reasoning, conversation, and coding. AlphaMonarch pperforms amazing on reasoning and conversation tasks. Merging AlphaMonarch with a coding model yielded MonarchCoder-7B which performs better on OpenLLM, Nous, and HumanEval benchmark. Although [MonarchCoder-2x7B](abideen/MonarchCoder-MoE-2x7B) performs better than MonarchCoder-7B.
 
 
-
-
-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
-Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_abideen__MonarchCoder-7B)
-
-|             Metric              |Value|
-|---------------------------------|----:|
-|Avg.                             |71.17|
-|AI2 Reasoning Challenge (25-Shot)|68.52|
-|HellaSwag (10-Shot)              |87.30|
-|MMLU (5-Shot)                    |64.65|
-|TruthfulQA (0-shot)              |61.21|
-|Winogrande (5-shot)              |80.19|
-|GSM8k (5-shot)                   |65.13|
+## 🏆 Evaluation results
+
+|             Metric              |MonarchCoder-Moe-2x7B||MonarchCoder-7B||AlphaMonarch|
+|---------------------------------|---------------------|-----------------|------------|
+|Avg.                             |       74.23         |      71.17      |   75.99    |
+|HumanEval                        |       41.15         |      39.02      |   34.14    |
+|HumanEval+                       |       29.87         |      31.70      |   29.26    |
+|MBPP                             |       40.60         |       *         |     *      |
+|AI2 Reasoning Challenge (25-Shot)|       70.99         |      68.52      |   73.04    |
+|HellaSwag (10-Shot)              |       87.99         |      87.30      |   89.18    |
+|MMLU (5-Shot)                    |       65.11         |      64.65      |   64.40    |
+|TruthfulQA (0-shot)              |       71.25         |      61.21      |   77.91    |
+|Winogrande (5-shot)              |       80.66         |      80.19     .|   84.69    |
+|GSM8k (5-shot)           .       |       69.37         |      65.13      |   66.72    | 
 
 
 ## 🧩 Configuration