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Update README_ms.md

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  1. README_ms.md +7 -7
README_ms.md CHANGED
@@ -89,7 +89,7 @@ MalayMMLU ialah tanda aras kefahaman bahasa pelbagai tugas (Massive Multitask La
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  <tr>
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  <td rowspan="4">OpenAI</td>
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  <td>GPT-4o</td>
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- <td style="color: green;">βœ”</td>
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  <td><strong>87.12</strong></td>
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  <td><strong>88.12</strong></td>
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  <td><strong>83.83</strong></td>
@@ -99,7 +99,7 @@ MalayMMLU ialah tanda aras kefahaman bahasa pelbagai tugas (Massive Multitask La
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  </tr>
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  <tr>
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  <td>GPT-4</td>
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- <td style="color: green;">βœ”</td>
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  <td><ins>82.90</ins></td>
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  <td><ins>83.91</ins></td>
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  <td>78.80</td>
@@ -109,7 +109,7 @@ MalayMMLU ialah tanda aras kefahaman bahasa pelbagai tugas (Massive Multitask La
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  </tr>
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  <tr>
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  <td>GPT-4o mini</td>
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- <td style="color: green;">βœ”</td>
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  <td>82.03</td>
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  <td>81.50</td>
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  <td>78.51</td>
@@ -221,7 +221,7 @@ MalayMMLU ialah tanda aras kefahaman bahasa pelbagai tugas (Massive Multitask La
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  </tr>
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  <tr>
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  <td>Qwen-2-VL (7B)</td>
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- <td style="color: green;">βœ”</td>
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  <td>68.16</td>
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  <td>63.62</td>
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  <td>67.58</td>
@@ -231,7 +231,7 @@ MalayMMLU ialah tanda aras kefahaman bahasa pelbagai tugas (Massive Multitask La
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  </tr>
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  <tr>
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  <td>Qwen-2-VL (2B)</td>
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- <td style="color: green;">βœ”</td>
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  <td>58.22</td>
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  <td>55.56</td>
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  <td>57.51</td>
@@ -396,7 +396,7 @@ MalayMMLU ialah tanda aras kefahaman bahasa pelbagai tugas (Massive Multitask La
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  <tr>
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  <td>OpenGVLab</td>
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  <td>InternVL2 (40B)</td>
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- <td style="color: green;">βœ”</td>
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  <td>70.36</td>
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  <td>68.49</td>
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  <td>64.88</td>
@@ -418,7 +418,7 @@ MalayMMLU ialah tanda aras kefahaman bahasa pelbagai tugas (Massive Multitask La
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  <tr>
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  <td rowspan="4">Mistral</td>
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  <td>Pixtral (12B)</td>
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- <td style="color: green;">βœ”</td>
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  <td>64.81</td>
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  <td>62.68</td>
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  <td>64.72</td>
 
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  <tr>
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  <td rowspan="4">OpenAI</td>
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  <td>GPT-4o</td>
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+ <td style="color: green; text-align: center"><b>&#10003</b></td>
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  <td><strong>87.12</strong></td>
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  <td><strong>88.12</strong></td>
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  <td><strong>83.83</strong></td>
 
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  </tr>
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  <tr>
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  <td>GPT-4</td>
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+ <td style="color: green; text-align: center"><b>&#10003</b></td>
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  <td><ins>82.90</ins></td>
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  <td><ins>83.91</ins></td>
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  <td>78.80</td>
 
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  </tr>
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  <tr>
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  <td>GPT-4o mini</td>
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+ <td style="color: green; text-align: center"><b>&#10003</b></td>
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  <td>82.03</td>
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  <td>81.50</td>
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  <td>78.51</td>
 
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  </tr>
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  <tr>
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  <td>Qwen-2-VL (7B)</td>
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+ <td style="color: green; text-align: center"><b>&#10003</b></td>
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  <td>68.16</td>
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  <td>63.62</td>
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  <td>67.58</td>
 
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  </tr>
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  <tr>
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  <td>Qwen-2-VL (2B)</td>
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+ <td style="color: green; text-align: center"><b>&#10003</b></td>
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  <td>58.22</td>
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  <td>55.56</td>
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  <td>57.51</td>
 
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  <tr>
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  <td>OpenGVLab</td>
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  <td>InternVL2 (40B)</td>
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+ <td style="color: green; text-align: center"><b>&#10003</b></td>
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  <td>70.36</td>
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  <td>68.49</td>
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  <td>64.88</td>
 
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  <tr>
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  <td rowspan="4">Mistral</td>
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  <td>Pixtral (12B)</td>
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+ <td style="color: green; text-align: center"><b>&#10003</b></td>
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  <td>64.81</td>
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  <td>62.68</td>
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  <td>64.72</td>