Update README.md

README.md

@@ -5,22 +5,6 @@ license: mit
 
 # LLM Model Merging
 
-<div align="center">
-    <a href="">
-        <img alt="open-source-image"
-		src="https://img.shields.io/badge/%E2%9D%A4%EF%B8%8F_Open_Source-%2350C878?style=for-the-badge"/>
-    </a>
-    <a href="https://youtu.be/gNXBp3wttFU">
-        <img alt="youtube-tutorial"
-        src="https://img.shields.io/badge/YouTube_Tutorial-grey?style=for-the-badge&logo=YouTube&logoColor=%23FF0000"/>
-    </a>
-    <a href="https://github.com/uygarkurt/Model-Merge">
-      <img alt="github-image"
-      src="https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white"
-    </a>
-</div>
-<br/>
-
 ## YouTube Tutorial
 <div align="center">
     <a href="https://youtu.be/gNXBp3wttFU">Model Merging: Merge LLMs to Create Frankestein Models - Python, HuggingFace, Mergekit</a>
@@ -37,4 +21,20 @@ You can find the GitHub from here; https://github.com/uygarkurt/Model-Merge
 In this specific case, I typed `llama-3` into the open LLM leaderboard, took the best 3 models, merged them and created
 a better ranking model wihtout any training.
 
-As the main libraries we will be using [mergekit](https://github.com/arcee-ai/mergekit).
+As the main libraries we will be using [mergekit](https://github.com/arcee-ai/mergekit).
+
+<br/>
+<div align="center">
+    <a href="">
+        <img alt="open-source-image"
+		src="https://img.shields.io/badge/%E2%9D%A4%EF%B8%8F_Open_Source-%2350C878?style=for-the-badge"/>
+    </a>
+    <a href="https://youtu.be/gNXBp3wttFU">
+        <img alt="youtube-tutorial"
+        src="https://img.shields.io/badge/YouTube_Tutorial-grey?style=for-the-badge&logo=YouTube&logoColor=%23FF0000"/>
+    </a>
+    <a href="https://github.com/uygarkurt/Model-Merge">
+      <img alt="github-image"
+      src="https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white"
+    </a>
+</div>