Qwen2-VL

Qwen2-VL

Alibaba
SmolVLM

SmolVLM

Hugging Face
+
+

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About

Qwen2-VL is the latest version of the vision language models based on Qwen2 in the Qwen model familities. Compared with Qwen-VL, Qwen2-VL has the capabilities of: SoTA understanding of images of various resolution & ratio: Qwen2-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc. Understanding videos of 20 min+: Qwen2-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc. Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions. Multilingual Support: to serve global users, besides English and Chinese, Qwen2-VL now supports the understanding of texts in different languages inside images

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers interested in a powerful vision large language model

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io

Company Information

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

Alternatives

SmolVLM

SmolVLM

Hugging Face

Alternatives

Qwen2.5-VL

Qwen2.5-VL

Alibaba
Qwen

Qwen

Alibaba
Pixtral Large

Pixtral Large

Mistral AI
Qwen2

Qwen2

Alibaba
Magma

Magma

Microsoft
Qwen-7B

Qwen-7B

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
Hugging Face
LM-Kit.NET
ModelScope
Open Computer Agent
Qwen Chat

Integrations

Alibaba Cloud
Hugging Face
LM-Kit.NET
ModelScope
Open Computer Agent
Qwen Chat
Claim Qwen2-VL and update features and information
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