Qwen3.7-PlusAlibaba
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SmolVLMHugging Face
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Related Products
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About
Qwen3.7-Plus is a multimodal agent model that unifies vision and language into a single, versatile agent foundation. Building on Qwen3.7’s agentic intelligence, it extends Qwen’s capabilities into visual understanding, visual reasoning, grounded interaction, and multimodal tool use, enabling agents to perceive, analyze, and act across text, images, documents, screens, and complex real-world contexts. It is designed for tasks that require more than static question answering, including visual search, document comprehension, chart and table analysis, screen understanding, GUI interaction, image-grounded reasoning, and agent workflows that combine perception with planning and execution. Qwen3.7-Plus strengthens the connection between language reasoning and visual evidence, allowing users to ask questions about images, interpret dense multimodal inputs, extract structured information, and generate responses that reflect both context and visual details.
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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
Supported
Mac
Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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Audience
AI developers and product teams that need a multimodal agent model for visual reasoning, document understanding, screen analysis, and tool-using AI workflows
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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
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
Free
Open source
Free Version
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAlibaba
Founded: 1999
China
qwen.ai/blog
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Company InformationHugging Face
Founded: 2016
United States
huggingface.co/HuggingFaceTB/SmolVLM-Instruct
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Categories |
Categories |
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Integrations
Alibaba Cloud Model Studio
Supported
Cherry Studio
Supported
ClinePass
Supported
Happy Shrimp 1.0
Supported
Hermes Agent
Supported
Hugging Face
Supported
Model Context Protocol (MCP)
Supported
ModelScope
Supported
Ollama
Supported
OpenClaw
Supported
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Integrations
Alibaba Cloud Model Studio
Not Supported
Cherry Studio
Not Supported
ClinePass
Not Supported
Happy Shrimp 1.0
Not Supported
Hermes Agent
Not Supported
Hugging Face
Not Supported
Model Context Protocol (MCP)
Not Supported
ModelScope
Not Supported
Ollama
Not Supported
OpenClaw
Not Supported
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