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@@ -49,11 +49,11 @@ The training utilized the BiMed1.3M dataset, focusing on bilingual medical inter
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  The model's fine-tuning process includes a low-rank adaptation technique (QLoRA) to efficiently adapt the model to specific tasks while keeping computational demands manageable.
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- <div style="width: 50%;float: left;">
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  <table>
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  <tr>
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  <th>Model Name</th>
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- <th>Download</th>
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  </tr>
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  <tr>
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  <td>BiMediX-Eng</td>
@@ -71,7 +71,6 @@ The model's fine-tuning process includes a low-rank adaptation technique (QLoRA)
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  </div>
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  ## Dataset
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  (Details about the BiMed1.3M dataset, including composition and access.)
 
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  The model's fine-tuning process includes a low-rank adaptation technique (QLoRA) to efficiently adapt the model to specific tasks while keeping computational demands manageable.
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+ <div style="width: 50%">
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  <table>
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  <tr>
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  <th>Model Name</th>
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+ <th>Link Download</th>
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  </tr>
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  <tr>
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  <td>BiMediX-Eng</td>
 
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  </div>
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  ## Dataset
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  (Details about the BiMed1.3M dataset, including composition and access.)