Update README.md

README.md

@@ -35,7 +35,7 @@ merge_method: linear
 dtype: float16
 ```
 
-## Results 
+## 🏆 Results 
 > Results obtained through the Serbian LLM evaluation, released by Aleksa Gordić: [serbian-llm-eval](https://github.com/gordicaleksa/serbian-llm-eval)
 > * Evaluation was conducted on a 4-bit version of the model due to hardware resource constraints.
 
@@ -51,13 +51,13 @@ dtype: float16
     <th>PiQA</th>
   </tr>
   <tr>
-    <td><a href="https://huggingface.co/datatab/Yugo55-GPT-v4-4bit/">Yugo55-GPT-v4-4bit</a></td>
-    <td><strong>51.41</strong></td>
-    <td><strong>36.00</strong></td>
-    <td><strong>57.51</strong></td>
-    <td><strong>80.92</strong></td>
+    <td><a href="https://huggingface.co/datatab/Yugo55-GPT-v4-4bit/">*Yugo55-GPT-v4-4bit</a></td>
+    <td>51.41</td>
+    <td>36.00</td>
+    <td>57.51</td>
+    <td>80.92</td>
     <td><strong>65.75</strong></td>
-    <td><strong>34.70</strong></td>
+    <td>34.70</td>
     <td><strong>70.54</strong></td>
   </tr>
   <tr>
@@ -66,9 +66,9 @@ dtype: float16
     <td><strong>37.78</strong></td>
     <td><strong>57.52</strong></td>
     <td><strong>84.40</strong></td>
-    <td><strong>65.43</strong></td>
+    <td>65.43</td>
     <td><strong>35.60</strong></td>
-    <td><strong>69.43</strong></td>
+    <td>69.43</td>
   </tr>
 </table>
 
@@ -102,11 +102,11 @@ import transformers
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 model = AutoModelForCausalLM.from_pretrained(
-    "datatab/datatab/Yugo55-GPT-v4-4bit", torch_dtype="auto"
+    "datatab/Yugo55-GPT-v4-4bit", torch_dtype="auto"
 )
 
 tokenizer = AutoTokenizer.from_pretrained(
-    "datatab/datatab/Yugo55-GPT-v4-4bit", torch_dtype="auto"
+    "datatab/Yugo55-GPT-v4-4bit", torch_dtype="auto"
 )