48 lines
2.0 KiB
Markdown
48 lines
2.0 KiB
Markdown
---
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pipeline_tag: image-text-to-text
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base_model:
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- Qwen/Qwen3-VL-4B-Instruct
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---
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# Qwen3-VL-4B-Instruct
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Run **Qwen3-VL-4B-Instruct** optimized for CPU/GPU with [NexaSDK](https://github.com/NexaAI/nexa-sdk).
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## Quickstart
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1. **Install [NexaSDK](https://github.com/NexaAI/nexa-sdk)**
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2. Run the model locally with one line of code:
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```bash
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nexa infer NexaAI/Qwen3-VL-4B-Instruct-GGUF
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```
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## Model Description
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**Qwen3-VL-4B-Instruct** is a 4-billion-parameter instruction-tuned multimodal large language model from Alibaba Cloud’s Qwen team.
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As part of the **Qwen3-VL** series, it fuses powerful vision-language understanding with conversational fine-tuning, optimized for real-world applications such as chat-based reasoning, document analysis, and visual dialogue.
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The *Instruct* variant is tuned for following user prompts naturally and safely — producing concise, relevant, and user-aligned responses across text, image, and video contexts.
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## Features
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- **Instruction-Following**: Optimized for dialogue, explanation, and user-friendly task completion.
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- **Vision-Language Fusion**: Understands and reasons across text, images, and video frames.
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- **Multilingual Capability**: Handles multiple languages for diverse global use cases.
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- **Contextual Coherence**: Balances reasoning ability with natural, grounded conversational tone.
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- **Lightweight & Deployable**: 4B parameters make it efficient for edge and device-level inference.
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## Use Cases
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- Visual chatbots and assistants
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- Image captioning and scene understanding
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- Chart, document, or screenshot analysis
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- Educational or tutoring systems with visual inputs
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- Multilingual, multimodal question answering
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## Inputs and Outputs
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**Input:**
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- Text prompts, image(s), or mixed multimodal instructions.
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**Output:**
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- Natural-language responses or visual reasoning explanations.
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- Can return structured text (summaries, captions, answers, etc.) depending on the prompt.
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## License
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Refer to the [official Qwen license](https://huggingface.co/Qwen) for terms of use and redistribution. |