Audience

Developers, AI researchers, and businesses looking for a compact, high-performance model to handle multimodal tasks, including image-based data analysis, captioning, and story generation

About SmolVLM

SmolVLM-Instruct is a compact, AI-powered multimodal model that combines the capabilities of vision and language processing, designed to handle tasks like image captioning, visual question answering, and multimodal storytelling. It works with both text and image inputs, providing highly efficient results while being optimized for smaller, resource-constrained environments. Built with SmolLM2 as its text decoder and SigLIP as its image encoder, the model offers improved performance for tasks that require integration of both textual and visual information. SmolVLM-Instruct can be fine-tuned for specific applications, offering businesses and developers a versatile tool for creating intelligent, interactive systems that require multimodal inputs.

Pricing

Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.

Integrations

No integrations listed.

Ratings/Reviews

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Company Information

Hugging Face
Founded: 2016
United States
huggingface.co/HuggingFaceTB/SmolVLM-Instruct

Videos and Screen Captures

SmolVLM Screenshot 1
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Product Details

Platforms Supported
Windows
Mac
Linux
iPhone
iPad
Android
On-Premises
Training
Documentation

SmolVLM Frequently Asked Questions

Q: What kinds of users and organization types does SmolVLM work with?
Q: What languages does SmolVLM support in their product?
Q: Does SmolVLM have a mobile app?
Q: What type of training does SmolVLM provide?
Q: How much does SmolVLM cost?

SmolVLM Product Features