EdgeAI.computer

Hugging Face

SmolVLM

Apache 2.0 compact vision-language model family, from 2 billion parameters down to a 256 million variant.

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On-Device AI
Hugging Face
Small single-board computer with a camera module attached

Overview

SmolVLM is a family of compact vision-language models designed explicitly for on-device use. The flagship model is 2 billion parameters, and the SmolVLM-256M variant is described by Hugging Face as the smallest multimodal model released, aimed at very constrained hardware.

Typical use cases

  • On-device image question answering
  • Camera scene description
  • Embedded multimodal features

Deployment environment

Edge board, mobile device or small edge server

Key specifications

Parameters
2 billion flagship; 256 million compact variant
Licence
Apache 2.0
Modality
Vision-language (image and text input)
Design goal
On-device multimodal inference

Specifications taken from current manufacturer documentation and last checked on 2026-09-08.

Source: manufacturer documentation

Specifications are summarised from publicly published manufacturer material and are provided for orientation only. Always confirm current figures directly with the manufacturer before purchasing or designing in.

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