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@@ -59,7 +59,7 @@ Gemma 2 2b was trained on a wide dataset of 2 trillion tokens, which is an incre
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  - Code: Exposing the model to code helps it to learn the syntax and patterns of programming languages, which improves its ability to generate code or understand code-related questions.
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  - Mathematics: Training on mathematical text helps the model learn logical reasoning, symbolic representation, and to address mathematical queries.
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- For more details check out their blog post here: https://huggingface.co/blog/gemma2
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  ## Special thanks
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  - Code: Exposing the model to code helps it to learn the syntax and patterns of programming languages, which improves its ability to generate code or understand code-related questions.
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  - Mathematics: Training on mathematical text helps the model learn logical reasoning, symbolic representation, and to address mathematical queries.
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+ For more details check out their blog post here: https://developers.googleblog.com/en/smaller-safer-more-transparent-advancing-responsible-ai-with-gemma/
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  ## Special thanks
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