Update README.md

README.md

@@ -127,23 +127,22 @@ MonarchCoder-MoE-2x7B is a Mixure of Experts (MoE) made with the following model
 * [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
 * [Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0](https://huggingface.co/Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0)
 
-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-2x7B which performs better on OpenLLM, Nous, and HumanEval benchmark.
+The main aim behind creating this model is to create a model that performs well in reasoning, conversation, and coding. AlphaMonarch performs amazing on reasoning and conversation tasks. Merging AlphaMonarch with a coding model yielded MonarchCoder-2x7B which performs better on OpenLLM, Nous, and HumanEval benchmark.
 
 ## 🏆 Evaluation results
-
 ```
-# [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-MoE-2x7B)
-
-|             Metric              |Value|
-|---------------------------------|----:|
-|Avg.                             |74.23|
-|AI2 Reasoning Challenge (25-Shot)|70.99|
-|HellaSwag (10-Shot)              |87.99|
-|MMLU (5-Shot)                    |65.11|
-|TruthfulQA (0-shot)              |71.25|
-|Winogrande (5-shot)              |80.66|
-|GSM8k (5-shot)                   |69.37|
+|             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