SmolVLM
The smallest vision models from Hugging Face, starting at 256M; they run in a browser and on a phone. SmolVLM2 also understands video.
- Developer
- Hugging Face, France / USA
- First release
- Nov 2024
- Latest release
- Apr 2025
- Sizes
- 256M – 2.2B
- License
- Commercial use allowedApache 2.0
- Russian
- Not supported
- Ready-made builds
- GGUF, MLX (Apple)
- Running
- On your own serverAlso runs without a GPU
- Industries
- Documents and accounting, Retail and marketplaces
What it does
- Describing photos and video on low-end hardware
- Reading simple documents
- Embedding in mobile and offline apps
Where it is used
Hardware requirements
Versions
- SmolVLM2-2.2B-Base
- SmolVLM2 (256M – 2.2B, видео)
- SmolVLM 256M / 500M
- SmolVLM 2B
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.
Frequently asked questions
Can SmolVLM be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does SmolVLM need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does SmolVLM support Russian?
No. The model card lists its languages and Russian is not among them.
Where can I download SmolVLM and what does it cost?
The SmolVLM weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
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DetailsSource: huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


