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@@ -13,19 +13,22 @@ https://hf.co/jondurbin/airoboros-65b-gpt4-1.4
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  ### Licence and usage restrictions
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- This model was built on llama-2, which has a proprietary/custom Meta license.
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- - See the LICENSE.txt file attached for the original license, along with USE_POLICY.md which was also provided by Meta.
 
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- The data used to fine-tune the llama-2-70b-hf model was generated by GPT4 via OpenAI API calls.using [airoboros](https://github.com/jondurbin/airoboros)
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- - The ToS for OpenAI API usage has a clause preventing the output from being used to train a model that __competes__ with OpenAI
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- - what does *compete* actually mean here?
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- - these small open source models will not produce output anywhere near the quality of gpt-4, or even gpt-3.5, so I can't imagine this could credibly be considered competing in the first place
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- - if someone else uses the dataset to do the same, they wouldn't necessarily be violating the ToS because they didn't call the API, so I don't know how that works
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- - the training data used in essentially all large language models includes a significant amount of copyrighted or otherwise non-permissive licensing in the first place
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- - other work using the self-instruct method, e.g. the original here: https://github.com/yizhongw/self-instruct released the data and model as apache-2
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- I am purposingly leaving this license ambiguous (other than the fact you must comply with the Meta original license) because I am not a lawyer and refuse to attempt to interpret all of the terms accordingly.
 
 
 
 
 
 
 
 
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  Your best bet is probably to avoid using this commercially due to the OpenAI API usage.
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- Either way, by using this model, you agree to completely idemnify me from any and all license related issues.
 
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  ### Licence and usage restrictions
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+ Base model has a custom Meta license:
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+ - See the [meta-license/LICENSE.txt](/meta-license/LICENSE.txt) file attached for the original license provided by Meta.
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+ - See also [meta-license/USE_POLICY.md](/meta-license/USE_POLICY.md) and [meta-license/Responsible-Use-Guide.pdf](meta-license/Responsible-Use-Guide.pdf), also provided by Meta.
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+ The fine-tuning data was generated by OpenAI API calls to gpt-4, via [airoboros](https://github.com/jondurbin/airoboros)
 
 
 
 
 
 
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+ The ToS for OpenAI API usage has a clause preventing the output from being used to train a model that __competes__ with OpenAI
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+
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+ - what does *compete* actually mean here?
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+ - these small open source models will not produce output anywhere near the quality of gpt-4, or even gpt-3.5, so I can't imagine this could credibly be considered competing in the first place
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+ - if someone else uses the dataset to do the same, they wouldn't necessarily be violating the ToS because they didn't call the API, so I don't know how that works
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+ - the training data used in essentially all large language models includes a significant amount of copyrighted or otherwise non-permissive licensing in the first place
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+ - other work using the self-instruct method, e.g. the original here: https://github.com/yizhongw/self-instruct released the data and model as apache-2
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+
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+ I am purposingly leaving this license ambiguous (other than the fact you must comply with the Meta original license for llama-2) because I am not a lawyer and refuse to attempt to interpret all of the terms accordingly.
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  Your best bet is probably to avoid using this commercially due to the OpenAI API usage.
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+ Either way, by using this model, you agree to completely idemnify me.