luffycodes
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README.md
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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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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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"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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|||Average|ARC|HellaSwag|MMLU|TruthfulQA|
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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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"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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## LLM Performance based on [huggingface LLM leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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