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.
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Pricing
Starting Price:
Free
Pricing Details:
Open source
Free Version:
Free Version available.
Integrations
No integrations listed.
Company Information
Hugging Face
Founded: 2016
United States
huggingface.co/HuggingFaceTB/SmolVLM-Instruct
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