QVQ-MaxAlibaba
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SmolVLMHugging Face
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Related Products
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About
QVQ-Max is a visual reasoning model designed to analyze and understand visual content, allowing users to solve complex problems with the help of images, videos, and diagrams. By combining deep reasoning and detailed observation, QVQ-Max can identify objects in photos, process mathematical problems, and even predict the next scene in a video. It also aids in creative tasks, from generating illustrations to writing video scripts, offering a versatile tool for both work and personal use. This first iteration, though still evolving, demonstrates impressive potential in various fields like education, professional work, and everyday problem-solving.
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About
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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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
QVQ-Max is perfect for students, professionals, and creatives looking for an AI-powered tool to analyze visual content and assist with problem-solving, learning, and creative tasks
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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
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAlibaba
Founded: 1999
China
qwenlm.github.io/blog/qvq-max-preview/
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Company InformationHugging Face
Founded: 2016
United States
huggingface.co/HuggingFaceTB/SmolVLM-Instruct
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Categories |
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Integrations
No info available.
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Integrations
No info available.
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