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README.md

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+# Qwen3-VL-8B-Thinking
+Run **Qwen3-VL-8B-Thinking** optimized for **Apple Silicon** on MLX with [NexaSDK](https://sdk.nexa.ai).
+
+## Quickstart
+
+1. **Install NexaSDK** and create a free account at [sdk.nexa.ai](https://sdk.nexa.ai)
+2. **Activate your device** with your access token:
+
+   ```bash
+   nexa config set license '<access_token>'
+   ```
+3. Run the model locally with one line of code:
+
+   ```bash
+   nexa infer NexaAI/qwen3vl-8B-Thinking-fp16-mlx
+   ```
+
+## Model Description
+**Qwen3-VL-8B-Thinking** is an 8-billion-parameter multimodal large language model from Alibaba Cloud’s Qwen team.  
+As part of the **Qwen3-VL** (Vision-Language) family, it is designed for deep multimodal reasoning — combining visual understanding, long-context comprehension, and structured chain-of-thought generation across text, images, and videos.
+
+The **Thinking** variant focuses on advanced reasoning transparency and analytical precision. Compared to the *Instruct* version, it produces richer intermediate reasoning steps, enabling detailed explanation, planning, and multi-hop analysis across visual and textual inputs.
+
+## Features
+- **Deep Visual Reasoning**: Interprets complex scenes, charts, and documents with multi-step logic.  
+- **Chain-of-Thought Generation**: Produces structured reasoning traces for improved interpretability and insight.  
+- **Extended Context Handling**: Maintains coherence across longer multimodal sequences.  
+- **Multilingual Competence**: Understands and generates in multiple languages for global applicability.  
+- **High Accuracy at 8B Scale**: Achieves strong benchmark performance in multimodal reasoning and analysis tasks.
+
+## Use Cases
+- Research and analysis requiring visual reasoning transparency  
+- Complex multimodal QA and scientific problem solving  
+- Visual analytics and explanation generation  
+- Advanced agent systems needing structured thought or planning steps  
+- Educational tools requiring detailed, interpretable reasoning  
+
+## Inputs and Outputs
+**Input:**
+- Text, image(s), or multimodal combinations (including sequential frames or documents)  
+- Optional context for multi-turn or multi-modal reasoning  
+
+**Output:**
+- Structured reasoning outputs with intermediate steps  
+- Detailed answers, explanations, or JSON-formatted reasoning traces  
+
+## License
+Refer to the [official Qwen license](https://huggingface.co/Qwen) for usage and redistribution details.