Update README.md

README.md

@@ -27,7 +27,8 @@ model-index:
       value: 68.52
       name: normalized accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -43,7 +44,8 @@ model-index:
       value: 87.3
       name: normalized accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -60,7 +62,8 @@ model-index:
       value: 64.65
       name: accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -76,7 +79,8 @@ model-index:
     - type: mc2
       value: 61.21
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -93,7 +97,8 @@ model-index:
       value: 80.19
       name: accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
       name: Open LLM Leaderboard
   - task:
       type: text-generation
@@ -110,16 +115,42 @@ model-index:
       value: 65.13
       name: accuracy
     source:
-      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=abideen/MonarchCoder-7B
       name: Open LLM Leaderboard
+language:
+- en
+library_name: transformers
 ---
 
 # MonarchCoder-7B
 
-MonarchCoder-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64e380b2e12618b261fa6ba0/oJN8_xoMOq2RlIc799m-x.jpeg)
+
+MonarchCoder-7B is a slerp merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0](https://huggingface.co/Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0)
 * [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
 
+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|
+
+
 ## 🧩 Configuration
 
 ```yaml
@@ -165,16 +196,3 @@ 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/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|
-