Update README.md

README.md

@@ -67,8 +67,61 @@ python run_inference.py -m models/Falcon3-3B-Base-1.58bit/ggml-model-i2_s.gguf -
 ```
 
 # Evaluation
-
-Coming soon ..
+We report in the following table our internal pipeline benchmarks:
+
+**Note evaluation results are normalized score from v2 leaderboard tasks - reported results of original models in the blogpost are raw scores**
+
+<table border="1" style="width: 100%; text-align: center; border-collapse: collapse;">
+    <colgroup>
+        <col style="width: 10%;">
+        <col style="width: 10%;">
+        <col style="background-color: rgba(80, 15, 213, 0.5); width: 7%;">
+    </colgroup>
+    <thead>
+        <tr>
+            <th>Benchmark</th>
+            <th>Llama3-8B-1.58-100B-tokens</th>
+            <th>Falcon3-7B-Instruct-1.58bit </th>
+        </tr>
+    </thead>
+    <tbody>
+        <tr>
+            <td>IFEval</td>
+            <td>17.91</td>
+            <td><b>27.49</b></td>
+        </tr>      
+        <tr>
+            <td>MUSR</td>
+            <td><b>4.87</b></td>
+            <td>4.64</td>
+        </tr>
+        <tr>
+            <td>GPQA</td>
+            <td><b>1.83<b></td>
+            <td>0.00</td>
+        </tr>
+        <tr>
+            <td>BBH</td>
+            <td>5.36</td>
+            <td><b>2.97</b></td>
+        </tr>
+        <tr>
+            <td>MMLU-PRO</td>
+            <td><b>2.78<b></td>
+            <td><b>1.47</b></td>
+        </tr>      
+        <tr>
+            <td>MATH</td>
+            <td>0.26</td>
+            <td><b>0.43</b></td>
+        </tr>
+        <tr>
+            <td>Average</td>
+            <td>5.5</td>
+            <td><b>6.17</b></td>
+        </tr>          
+    </tbody>
+</table>
 
 # Citation