Qwen3-VL-2B-Thinking-GGUF

Qwen3-VL-2B-Thinking

[!NOTE]
Note currently only NexaSDK supports this model's GGUF.

Quickstart:

• Download NexaSDK with one click
• one line of code to run in your terminal:

nexa infer NexaAI/Qwen3-VL-2B-Thinking-GGUF

Model Description

Qwen3-VL-2B-Thinking is a 2-billion-parameter multimodal model from the Qwen3-VL family, optimized for explicit reasoning and step-by-step visual understanding.
It builds upon Qwen3-VL-2B with additional “thinking” supervision, allowing the model to explain its reasoning process across both text and images—ideal for research, education, and agentic applications requiring transparent decision traces.

Features

• Visual reasoning: Performs detailed, interpretable reasoning across images, diagrams, and UI elements.
• Step-by-step thought traces: Generates intermediate reasoning steps for transparency and debugging.
• Multimodal understanding: Supports text, images, and video inputs with consistent logical grounding.
• Compact yet capable: 2B parameters, optimized for low-latency inference and on-device deployment.
• Instruction-tuned: Enhanced alignment for “think-aloud” question answering and visual problem solving.

Use Cases

• Visual question answering with reasoning chains
• Step-by-step image or chart analysis for education and tutoring
• Debuggable AI agents and reasoning assistants
• Research on interpretable multimodal reasoning
• On-device transparent AI inference for visual domains

Inputs and Outputs

Inputs

• Text prompts or questions
• Images, diagrams, or UI screenshots
• Optional multi-turn reasoning chains

Outputs

• Natural language answers with explicit thought steps
• Detailed reasoning traces combining visual and textual logic

License

This model is released under the Apache 2.0 License.
Refer to the official Hugging Face page for license details and usage terms.

References

• Qwen3-VL-2B-Thinking on Hugging Face
• Qwen3 Technical Report (arXiv)
• Qwen GitHub Repository