(released in July 2023), . LLaMA models emerge as ideal foundational models for scientific communities because they are pretrained using publicly available data only, have parameter sizes ranging from 7 billion to 70 billion, and are distributed with both model weights and training code under an open-source license. We select LLaMA-2-7B in this study for fine-tuning due to memory considerations.