zenlm/zen3-vl
zenlm/zen3-vl is an 8 billion parameter vision-language model, repackaged from Alibaba Qwen's Qwen3-VL-8B-Instruct. This model supports text, image, and video modalities, making it suitable for image understanding, optical character recognition (OCR), and complex visual reasoning tasks. It is a permissively-licensed redistribution within the OSS-clean Zen model line, not trained from scratch.
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zen3-vl: A Vision-Language Model
zenlm/zen3-vl is an 8 billion parameter vision-language model, repackaged from Alibaba Qwen's Qwen/Qwen3-VL-8B-Instruct. This model is part of the Zen LM line, developed by Hanzo AI, and is provided as a permissively-licensed redistribution, not trained from scratch.
Key Capabilities
- Multimodal Understanding: Processes and generates content based on text, image, and video inputs.
- Architecture: Built on the Qwen3-VL architecture (
Qwen3VLForConditionalGeneration). - Parameter Count: Features 8 billion dense parameters.
- License: Distributed under the
apache-2.0license, retaining the upstream license from Alibaba Qwen.
Use Cases
- Image Understanding: Analyze and interpret visual content.
- Optical Character Recognition (OCR): Extract text from images.
- Visual Reasoning: Perform complex reasoning tasks that combine visual and textual information.
This model is ideal for developers seeking a robust, open-source-friendly vision-language model for applications requiring multimodal input processing.