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@@ -42,8 +42,9 @@ The following hyperparameters were used during training:
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  We conducted two sets of evaluations: automatic evaluation on downstream NLP tasks and human evaluation on user-oriented instructions. For more detail, please refer to our [paper]().
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  ## Model Models
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- You can download LaMini model series as follow. Note that not all models are performing as well. Models with ✩ are those with the best overall performance given their size/architecture. More details can be seen in our paper.
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-
 
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  <table>
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  <caption>
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  LaMini Language Models collection.
@@ -124,6 +125,7 @@ You can download LaMini model series as follow. Note that not all models are per
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  </tbody>
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  </table>
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  ## Use
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  ### CPU
 
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  We conducted two sets of evaluations: automatic evaluation on downstream NLP tasks and human evaluation on user-oriented instructions. For more detail, please refer to our [paper]().
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  ## Model Models
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+ You can download LaMini model series as follow. Note that not all models are performing as well. More details can be seen in our (paper)[].
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+ <details>
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+ <summary> Click to expand </summary>
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  <table>
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  <caption>
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  LaMini Language Models collection.
 
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  </tbody>
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  </table>
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+ </details>
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  ## Use
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  ### CPU