This is a good article arguing that "open-weight AI models offer librarians the advantages of AI but addresses many of the profession's ethical concerns around privacy." The models can be run locally, so user data is never sent into the cloud and use of the models doesn't require data centres. The article outlines the models and applications (a.k.a. 'model engines') academic librarians can use. "Model engines such as LM Studio and Ollama have lowered the barriers to experimentation and deployment, making it possible for individuals and institutions to run increasingly capable models on local hardware. At the same time, models such as Ministral-3 14B, Qwen3 14B, and Olmo-3 demonstrate that open-weight alternatives can support many of the practical tasks academic libraries encounter."
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