The correct option is Gemma because it is a lightweight family of open models designed to run locally on consumer hardware including mobile devices, which satisfies the requirement that all processing stays on the phone and can work without reliable connectivity.

This family supports text generation tasks such as summarization and it is optimized for local execution through small parameter sizes and efficient runtimes. In this scenario you can capture audio on the device, use an on device speech recognition component, and then have the model generate concise summaries while ensuring that data never leaves the phone.

Veo is a generative video model focused on producing videos from prompts and it is offered as a cloud capability rather than being designed for on device text processing, so it does not meet the strict offline and on device requirement.

Imagen is an image generation model for turning text into images and it is delivered as a cloud service, which does not address on device transcription or summarization needs.

Gemini Pro is a powerful cloud hosted model accessed through the Gemini API, which requires sending data to Google services, so it does not fit a requirement where information must remain on the device at all times.

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