---
pipeline_tag: image-text-to-text
tags:
- MLX
- mlx
base_model:
- Qwen/Qwen3-VL-4B-Thinking
---
# Qwen3-VL-4B-Thinking
Run **Qwen3-VL-4B-Thinking** optimized for **Apple Silicon** on MLX with [NexaSDK](https://github.com/NexaAI/nexa-sdk).

## Quickstart

1. **Install [NexaSDK](https://github.com/NexaAI/nexa-sdk)**
2. Run the model locally with one line of code:

   ```bash
   nexa infer NexaAI/qwen3vl-4B-Thinking-fp16-mlx
   ```

## Model Description
**Qwen3-VL-4B-Thinking** is a 4-billion-parameter multimodal large language model from the Qwen team at Alibaba Cloud.  
Part of the **Qwen3-VL** (Vision-Language) family, it is designed for advanced visual reasoning and chain-of-thought generation across image, text, and video inputs.

Compared to the *Instruct* variant, the **Thinking** model emphasizes deeper multi-step reasoning, analysis, and planning. It produces detailed, structured outputs that reflect intermediate reasoning steps, making it well-suited for research, multimodal understanding, and agentic workflows.

## Features
- **Vision-Language Understanding**: Processes images, text, and videos for joint reasoning tasks.
- **Structured Thinking Mode**: Generates intermediate reasoning traces for better transparency and interpretability.
- **High Accuracy on Visual QA**: Performs strongly on visual question answering, chart reasoning, and document analysis benchmarks.
- **Multilingual Support**: Understands and responds in multiple languages.
- **Optimized for Efficiency**: Delivers strong performance at 4B scale for on-device or edge deployment.

## Use Cases
- Multimodal reasoning and visual question answering  
- Scientific and analytical reasoning tasks involving charts, tables, and documents  
- Step-by-step visual explanation or tutoring  
- Research on interpretability and chain-of-thought modeling  
- Integration into agent systems that require structured reasoning  

## Inputs and Outputs
**Input:**
- Text, images, or combined multimodal prompts (e.g., image + question)

**Output:**
- Generated text, reasoning traces, or structured responses  
- May include explicit thought steps or structured JSON reasoning sequences  

## License
Check the [official Qwen license](https://huggingface.co/Qwen) for terms of use and redistribution.