Upload README.md with huggingface_hub

README.md

@@ -5,13 +5,37 @@ license: apache-2.0
 
 ---
 
-<img src = "https://lh7-us.googleusercontent.com/docsz/AD_4nXfrlKyH6elkxeyrKw4el9j8V3IOQLsqTVngg19Akt6se1Eq2xaocCEjOmc1w8mq5ENHeYfpzRWjYB8D4mtmMPsiH7QyX_Ii1kEM7bk8eMzO68y9JEuDcoJxJBgbNDzRbTdVXylN9_zjrEposDwsoN7csKiD?key=xt3VSDoCbmTY7o-cwwOFwQ" style="height: 150px; width: 400px;">
+![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
 
 # QuantFactory/Lite-Mistral-150M-v2-Instruct-GGUF
 This is quantized version of [OuteAI/Lite-Mistral-150M-v2-Instruct](https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct) created using llama.cpp
 
 # Original Model Card
 
+<style>
+table {
+    border-collapse: collapse;
+    width: 100%;
+    margin-bottom: 20px;
+}
+th, td {
+    border: 1px solid #ddd;
+    padding: 8px;
+    text-align: center;
+}
+.best {
+    font-weight: bold;
+    text-decoration: underline;
+}
+</style>
+
+<div style="text-align: center; margin: 20px auto; padding: 20px; border: 3px solid #ddd; border-radius: 10px;">
+  <h2 style="margin-bottom: 4px; margin-top: 0px;">OuteAI</h2>
+  <a href="https://www.outeai.com/" target="_blank" style="margin-right: 10px;">🌎 OuteAI.com</a> 
+  <a href="https://discord.gg/vyBM87kAmf" target="_blank" style="margin-right: 10px;">🤝 Join our Discord</a>
+  <a href="https://x.com/OuteAI" target="_blank">𝕏 @OuteAI</a>
+</div>
+
 # Lite-Mistral-150M-v2-Instruct
 
 This is a Lite series model based on the Mistral architecture, comprising approximately 157 million parameters. <br>
@@ -29,7 +53,8 @@ The model was trained on ~8 billion tokens.
 
 ## Chat format
 
-This model is **very sensitive** to the chat template used. Ensure you use the correct template:
+> [!IMPORTANT]
+> This model is **sensitive** to the chat template used. Ensure you use the correct template:
 ```
 <s>system
 [System message]</s>
@@ -115,43 +140,59 @@ The model shows some promise in understanding context related to simple requests
 <table style="text-align: left;">
   <tr>
     <th>Benchmark</th>
-    <th>5-shot</th>
-    <th>0-shot</th>
+    <th>5-shot (acc)</th>
+    <th>5-shot (acc_norm)</th>
+    <th>0-shot (acc)</th>
+    <th>0-shot (acc_norm)</th>
   </tr>
   <tr>
     <td>ARC Easy</td>
     <td>47.26</td>
+    <td>46.30</td>
     <td>45.58</td>
+    <td>39.52</td>
   </tr>
   <tr>
     <td>BoolQ</td>
     <td>43.33</td>
+    <td>-</td>
     <td>44.16</td>
+    <td>-</td>
   </tr>
   <tr>
     <td>HellaSWAG</td>
     <td>28.70</td>
+    <td>30.73</td>
     <td>28.72</td>
+    <td>31.01</td>
   </tr>
   <tr>
     <td>MMLU</td>
-    <td>26.09</td>
+    <td>-</td>
+    <td>-</td>
     <td>25.28</td>
+    <td>-</td>
   </tr>
   <tr>
     <td>OpenBookQA</td>
     <td>16.00</td>
+    <td>28.00</td>
     <td>18.20</td>
+    <td>28.40</td>
   </tr>
   <tr>
     <td>PIQA</td>
     <td>62.79</td>
+    <td>62.68</td>
     <td>62.02</td>
+    <td>60.23</td>
   </tr>
   <tr>
     <td>Winogrande</td>
     <td>51.30</td>
+    <td>-</td>
     <td>51.78</td>
+    <td>-</td>
   </tr>
 </table>