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Update README.md

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@@ -48,6 +48,9 @@ In our recent evaluation, we used several multilingual benchmarks to assess our
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  | XCOPA | Turkish | **0.672** | 0.562 | 0.550 | 0.520 | 0.574 |
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  | xstorycloze | Spanish | **0.645** | 0.632 | 0.622 | 0.639 | **0.642** |
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  # Notice
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  Dynamo 8B is a pre-trained model that can be adapted and fine-tuned for a variety of tasks. However, it is new technology that carries risk. In some scenarios, it may generate inaccurate, unverified, or biased output despite efforts we have made to maximize model safety. As with all LLMs, we recommend users exercise critical thinking, validate outputs, and perform the requisite safety evaluations for specific downstream applications of the Dynamo model. We also require any use or deployment of the model to be in adherence with our Acceptable Use Policy.(https://www.dynamofl.com/legal/acceptable-use-policy)
 
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  | XCOPA | Turkish | **0.672** | 0.562 | 0.550 | 0.520 | 0.574 |
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  | xstorycloze | Spanish | **0.645** | 0.632 | 0.622 | 0.639 | **0.642** |
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+ # Training Data:
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+ This model was trained on a variety of datasets including information from an mC4 database which is made available under the ODC Attribution License. This includes the CulturaX dataset and RedPajama.
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  # Notice
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  Dynamo 8B is a pre-trained model that can be adapted and fine-tuned for a variety of tasks. However, it is new technology that carries risk. In some scenarios, it may generate inaccurate, unverified, or biased output despite efforts we have made to maximize model safety. As with all LLMs, we recommend users exercise critical thinking, validate outputs, and perform the requisite safety evaluations for specific downstream applications of the Dynamo model. We also require any use or deployment of the model to be in adherence with our Acceptable Use Policy.(https://www.dynamofl.com/legal/acceptable-use-policy)