MODELS

Qwen/Qwen3-VL-8B-Instruct

by Qwen

modellead-sourcehugging-face-popular-modelssource:github.commultimodalvision-languageimage-text-to-textqwenqwen3-vl8bhugging-facegithub

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Overview

Qwen/Qwen3-VL-8B-Instruct is an image-text-to-text vision-language model from the Qwen3-VL family by the Qwen team at Alibaba Cloud.

Details

Qwen/Qwen3-VL-8B-Instruct is listed on Hugging Face as an image-text-to-text model. The QwenLM GitHub repository describes Qwen3-VL as a multimodal large language model series developed by the Qwen team at Alibaba Cloud and says the repository includes deployment and API examples. The Qwen3-VL technical report introduces the family as vision-language models with dense 2B, 4B, 8B, and 32B variants plus MoE variants intended for latency-quality trade-offs.

When to Use

Use when you need to evaluate an 8B Qwen3-VL vision-language model for image-text-to-text workflows. Use when you want a Qwen multimodal model with official GitHub deployment and API examples available for implementation review. Use when comparing dense Qwen3-VL variants or assessing latency-quality trade-offs described for the broader Qwen3-VL family.

Getting Started

Open the Hugging Face model page for Qwen/Qwen3-VL-8B-Instruct to review the model listing and availability.
Review the official QwenLM/Qwen3-VL GitHub repository for deployment and API examples.
Read the Qwen3-VL technical report for family-level architecture and variant context.
Run a small evaluation on representative image-text-to-text tasks before using it in production.

Key Features

•Image-text-to-text model listing on Hugging Face.
•Part of the Qwen3-VL multimodal large language model series.
•Developed by the Qwen team at Alibaba Cloud according to the official GitHub repository.
•Official repository includes deployment and API examples.
•Belongs to a model family described as including dense 2B
•4B
•8B
•and 32B variants plus MoE variants.

Capabilities

•image-text-to-text
•vision-language modeling
•multimodal language modeling
•deployment via official examples
•API usage via official examples

Last updated Jun 5, 2026