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@@ -37,12 +37,17 @@ https://arxiv.org/abs/2305.13272
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  Training on Nash is based on:
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  https://github.com/luffycodes/Tutorbot-Spock-Bio
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- **Use Policy**
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- Since the model is derivate of Llama model, please abide by:
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- https://huggingface.co/meta-llama/Llama-2-13b-chat-hf/blob/main/USE_POLICY.md and also here is [Llama-Responsible-Use-Guide](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf/blob/main/Responsible-Use-Guide.pdf).
 
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- **Ethical Considerations and Limitations**
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- Similarly, since the model is derivate of Llama model, same ethical considers and limitations apply.
 
 
 
 
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  "Llama 2 is a new technology that carries risks with use. Testing conducted to date has been in English, and has not covered, nor could it cover all scenarios. For these reasons, as with all LLMs, Llama 2’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate, biased or other objectionable responses to user prompts. Therefore, before deploying any applications of Llama 2, developers should perform safety testing and tuning tailored to their specific applications of the model."
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  Training on Nash is based on:
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  https://github.com/luffycodes/Tutorbot-Spock-Bio
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+ **Use Policy:**
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+ Since the model is derivate of Llama model, please abide by Llama use policy [here]
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+ (https://huggingface.co/meta-llama/Llama-2-13b-chat-hf/blob/main/USE_POLICY.md)
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+ and [Llama-Responsible-Use-Guide](https://huggingface.co/meta-llama/Llama-2-13b-chat-hf/blob/main/Responsible-Use-Guide.pdf).
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+ **Ethical Considerations, License and Limitations:**
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+ Similarly, since the model is derivate of Llama model, same ethical considers, license and limitations as Llama apply.
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+
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+ **Out-of-scope Uses:**
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+ Similarly, use in any manner that violates applicable laws or regulations (including trade compliance laws).
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+ Use in languages other than English. Use in any other way that is prohibited by the Acceptable Use Policy and Licensing Agreement for Llama 2.
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  "Llama 2 is a new technology that carries risks with use. Testing conducted to date has been in English, and has not covered, nor could it cover all scenarios. For these reasons, as with all LLMs, Llama 2’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate, biased or other objectionable responses to user prompts. Therefore, before deploying any applications of Llama 2, developers should perform safety testing and tuning tailored to their specific applications of the model."
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