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Added an argument llm_type to choose the llm model class that will be used in both training and inference.
The valid values for llm_type are taken from the existing 'model_type' variable from the corresponding models config class. More specifically the choices are:
['llava', 'llava_mistral','llava_neox']
When adding a new llm class, as long as the class is defined, the method init_subclass will be invoked in the LlavaMetaModel base class and the Enum class variable ModelType will automatically be updated.