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README.md
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#### Out-of-Scope Use
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RedPajama-
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For example, it may not be suitable for use in safety-critical applications or for making decisions that have a significant impact on individuals or society.
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It is important to consider the limitations of the model and to only use it for its intended purpose.
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#### Misuse and Malicious Use
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RedPajama-
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Misuse of the model, such as using it to engage in illegal or unethical activities, is strictly prohibited and goes against the principles of the OpenChatKit community project.
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Using the model to generate content that is cruel to individuals is a misuse of this model. This includes, but is not limited to:
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## Limitations
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For example, the model may not always provide accurate or relevant answers, particularly for questions that are complex, ambiguous, or outside of its training data.
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We therefore welcome contributions from individuals and organizations, and encourage collaboration towards creating a more robust and inclusive chatbot.
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#### Out-of-Scope Use
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RedPajama-Instruct-INCITE-2.8B is a language model and may not perform well for other use cases outside of its intended scope.
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For example, it may not be suitable for use in safety-critical applications or for making decisions that have a significant impact on individuals or society.
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It is important to consider the limitations of the model and to only use it for its intended purpose.
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#### Misuse and Malicious Use
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RedPajama-Instruct-INCITE-2.8B is designed for language modeling.
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Misuse of the model, such as using it to engage in illegal or unethical activities, is strictly prohibited and goes against the principles of the OpenChatKit community project.
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Using the model to generate content that is cruel to individuals is a misuse of this model. This includes, but is not limited to:
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## Limitations
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RedPajama-Instruct-INCITE-2.8B, like other language models, has limitations that should be taken into consideration.
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For example, the model may not always provide accurate or relevant answers, particularly for questions that are complex, ambiguous, or outside of its training data.
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We therefore welcome contributions from individuals and organizations, and encourage collaboration towards creating a more robust and inclusive chatbot.
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