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@@ -100,7 +100,7 @@ The specific parameters are as follows:
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  <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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  我们同时开源出了和本模型配套的训练代码,允许进行高效的Finetune用于下游任务,具体参见[Baichuan-13B](https://github.com/baichuan-inc/Baichuan-13B)。
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- We have also open-sourced the training code that accompanies this model, allowing for efficient finetuning for downstream tasks. For more details, please refer to [baichuan-7B](https://github.com/baichuan-inc/baichuan-7B).
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  ### Out-of-Scope Use
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@@ -113,15 +113,15 @@ Production use without adequate assessment of risks and mitigation; any use case
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- Baichuan-7B可能会产生事实上不正确的输出,不应依赖它产生事实上准确的信息。Baichuan-7B是在各种公共数据集上进行训练的。尽管我们已经做出了巨大的努力来清洗预训练数据,但这个模型可能会生成淫秽、偏见或其他冒犯性的输出。
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- Baichuan-7B can produce factually incorrect output, and should not be relied on to produce factually accurate information. Baichuan-7B was trained on various public datasets. While great efforts have been taken to clean the pretraining data, it is possible that this model could generate lewd, biased or otherwise offensive outputs.
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  ## Training Details
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- 训练具体设置参见[Baichuan-7B](https://github.com/baichuan-inc/Baichuan-7B)。
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- For specific training settings, please refer to [Baichuan-7B](https://github.com/baichuan-inc/Baichuan-7B).
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  ## Evaluation
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  <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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  我们同时开源出了和本模型配套的训练代码,允许进行高效的Finetune用于下游任务,具体参见[Baichuan-13B](https://github.com/baichuan-inc/Baichuan-13B)。
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+ We have also open-sourced the training code that accompanies this model, allowing for efficient finetuning for downstream tasks. For more details, please refer to [baichuan-13B](https://github.com/baichuan-inc/baichuan-13B).
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  ### Out-of-Scope Use
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  <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+ Baichuan-13B可能会产生事实上不正确的输出,不应依赖它产生事实上准确的信息。Baichuan-13B是在各种公共数据集上进行训练的。尽管我们已经做出了巨大的努力来清洗预训练数据,但这个模型可能会生成淫秽、偏见或其他冒犯性的输出。
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+ Baichuan-13B can produce factually incorrect output, and should not be relied on to produce factually accurate information. Baichuan-13B was trained on various public datasets. While great efforts have been taken to clean the pretraining data, it is possible that this model could generate lewd, biased or otherwise offensive outputs.
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  ## Training Details
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+ 训练具体设置参见[Baichuan-13B](https://github.com/baichuan-inc/Baichuan-13B)。
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+ For specific training settings, please refer to [Baichuan-13B](https://github.com/baichuan-inc/Baichuan-13B).
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  ## Evaluation
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