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@@ -64,7 +64,7 @@ For the uses of the model, please refer to [BLOOM](https://huggingface.co/bigsci
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  ## Training Data
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  *This section provides a high-level overview of the training data. It is relevant for anyone who wants to know the basics of what the model is learning.*
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- We trained the 1B1 parameter model on a total of 6 Billion tokens of mostly high quality Traditional Chinese text. Details are provided in the [paper](https://arxiv.org/abs/2303.04715).
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  ## Risks and Limitations
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  *This section identifies foreseeable harms and misunderstandings.*
 
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  ## Training Data
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  *This section provides a high-level overview of the training data. It is relevant for anyone who wants to know the basics of what the model is learning.*
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+ We trained the 3B parameter model on a total of 13 Billion tokens of mostly high quality Traditional Chinese text. Details are provided in the [paper](https://arxiv.org/abs/2303.04715).
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  ## Risks and Limitations
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  *This section identifies foreseeable harms and misunderstandings.*