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         @@ -6,11 +6,12 @@ This model is the result of a new approach called **QuaLA-MiniLM**, which combin 
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            ### QuaLA-MiniLM training process
         
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            Figure showing QuaLA-MiniLM training process. To run the model with the best accuracy-efficiency tradeoff per a specific computational budget, we set the length configuration to the best setting found by an evolutionary search to match our computational constraint.
         
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            [ArchitecureQuaLA-MiniLM.jpg](ArchitecureQuaLA-MiniLM.jpg)
         
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            | Model Detail | Description |
         
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            ### QuaLA-MiniLM training process
         
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            <!-- : # Figure showing QuaLA-MiniLM training process. 
         
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            -->
         
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            To run the model with the best accuracy-efficiency tradeoff per a specific computational budget, we set the length configuration to the best setting found by an evolutionary search to match our computational constraint.
         
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            | Model Detail | Description |
         
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