Qwen3-VL-4B-Instruct-GGUF/README.md

pipeline_tag, base_model

pipeline_tag	base_model
image-text-to-text	Qwen/Qwen3-VL-4B-Instruct

Qwen3-VL-4B-Instruct

Run Qwen3-VL-4B-Instruct optimized for CPU/GPU with NexaSDK.

Quickstart

1. Install NexaSDK

2. Run the model locally with one line of code:

   nexa infer NexaAI/Qwen3-VL-4B-Instruct-GGUF
   

Model Description

Qwen3-VL-4B-Instruct is a 4-billion-parameter instruction-tuned multimodal large language model from Alibaba Cloud’s Qwen team.
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.

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.

Features

• Instruction-Following: Optimized for dialogue, explanation, and user-friendly task completion.
• Vision-Language Fusion: Understands and reasons across text, images, and video frames.
• Multilingual Capability: Handles multiple languages for diverse global use cases.
• Contextual Coherence: Balances reasoning ability with natural, grounded conversational tone.
• Lightweight & Deployable: 4B parameters make it efficient for edge and device-level inference.

Use Cases

• Visual chatbots and assistants
• Image captioning and scene understanding
• Chart, document, or screenshot analysis
• Educational or tutoring systems with visual inputs
• Multilingual, multimodal question answering

Inputs and Outputs

Input:

• Text prompts, image(s), or mixed multimodal instructions.

Output:

• Natural-language responses or visual reasoning explanations.
• Can return structured text (summaries, captions, answers, etc.) depending on the prompt.

License

Refer to the official Qwen license for terms of use and redistribution.