[ChatLLaMA] Add flan-t5-xl support for local and API model to generate synthetic reward_training_data scores #344
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Added an optional argument "-l" / "--local_directory" to allow the usage of locally stored google/flan-t5-xl model from HuggingFace. Added flan-t5-xl as a valid input option for the "-m" / "--model" argument. When used as just "-m flan-t5-xl", the model can be accessed via a HuggingFace API key similar to the davinci model. If used with the option "-l /path_to_locally_stored_flan-t5-xl/", the local model will be used to update the reward scores instead.
Linus-J
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Added an optional argument
-l/--local_directoryto allow the usage of locally stored google/flan-t5-xl model from HuggingFace.Added flan-t5-xl as a valid input option for the
-m/--modelargument. When used as just-m flan-t5-xl, the model can be accessed via a HuggingFace API key similar to the davinci model. If used with the option-l /path_to_locally_stored_flan-t5-xl/, the local model will be used to update the reward scores instead.This commit resolves issues #218 #221 #241.