zenlm/zen-vl-8b-agent
zenlm/zen-vl-8b-agent is an 8 billion parameter vision-language agent model, repackaged from Alibaba Qwen's Qwen3-VL-8B-Instruct. This model is designed for image understanding, optical character recognition (OCR), and visual reasoning tasks. It supports multimodal inputs including text, image, and video, making it suitable for complex visual AI applications. The model has a context length of 32768 tokens.
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zen-vl-8b-agent: A Vision-Language Agent Model
zenlm/zen-vl-8b-agent is an 8 billion parameter vision-language agent model, repackaged from the existing Qwen3-VL-8B-Instruct by Alibaba Qwen. This model is not trained from scratch but serves as a permissively-licensed redistribution within the Zen model line, ensuring OSS-clean usage.
Key Capabilities
- Multimodal Understanding: Processes and understands information from text, images, and video inputs.
- Image Understanding: Excels in interpreting visual content.
- OCR (Optical Character Recognition): Capable of extracting text from images.
- Visual Reasoning: Performs complex reasoning tasks based on visual data.
Good For
- Applications requiring advanced image analysis and interpretation.
- Tasks involving text extraction from visual sources.
- Developing agents that need to understand and reason across different modalities.
Note: This model has been superseded by zenlm/zen3-vl, which is the canonical name for its successor. The weights for zen-vl-8b-agent remain available for reproducibility purposes.