SmolVLM2

SmolVLM2, from HuggingFace, is a series of tiny, open-source multimodal model for video understanding. Processes video, images, and text. Ideal for on-device applications.

SmolVLM2 by HuggingFace is the smallest open-source multimodal model designed for video understanding, capable of processing video, images, and text. Its compact size makes it perfect for on-device applications, particularly on iPhones and Macs. The model excels at generating text from visual inputs, creating video highlights, and compiling playlists, offering practical tools for content analysis and summarization. While still experimental, its 8-bit quantized version ensures efficient performance, though the vision tower remains unquantized to avoid iOS compatibility issues. SmolVLM2 is a versatile, lightweight solution for developers and researchers exploring multimodal AI in resource-constrained environments.