# Image-text interaction

SmolVLM is a compact open-source multimodal model that can accept image and text inputs and generate text outputs. It is designed for high efficiency and is suitable for device-side applications.

Gemma 3 is Google's lightweight cutting-edge open model family, built on the same research and technology used to create Gemini models. This model is multimodal, capable of processing both text and image inputs to generate text outputs.

Qwen2.5-VL-32B-Instruct is a 32B-parameter multimodal vision-language model that supports joint understanding and generation tasks for images and text.

Gemma is a lightweight open-source multimodal model series launched by Google. It supports text and image inputs and generates text outputs. It has a 128K large context window and supports over 140 languages.

Qwen2-VL-2B-Instruct is a multimodal vision-language model that supports image-text-to-text tasks.