1. Tutorial Introduction

Qwen2.5-VL-32B-Instruct is a multimodal large model open sourced by the Alibaba Tongyi Qianwen team on March 24, 2025, and released under the Apache 2.0 protocol. Based on the Qwen2.5-VL series, this model is optimized through reinforcement learning technology and achieves a breakthrough in multimodal capabilities with a 32B parameter scale.

🚀 Qwen2.5-VL-32B shocking upgrade! Stronger visual AI, smarter multi-modal assistant! 🌟

🔥 Core feature upgrades

Fine-grained visual analysis: In professional fields such as medical image analysis and engineering drawing recognition, the model demonstrates pixel-level content capture capabilities and supports multi-image association reasoning and spatiotemporal dimension analysis.
Output style optimization: The output content of the model is closer to human expression habits in terms of format specifications and information detail, and can generate solutions with clear structure and rigorous logic, especially in complex scenarios.
Mathematical reasoning breakthrough: For complex mathematical problems including multi-variable equations and geometric proofs, the model improves the accuracy of problem solving to the industry-leading level through algorithm optimization.

This tutorial uses Qwen2.5-VL-32B-AWQ as a demonstration, and the computing resources are A6000.

2. Operation steps

1. After starting the container, click the API address to enter the Web interface

If "bad Gateway" is displayed, it means the model is initializing. Since the model is large, please wait about 1-2 minutes and refresh the page.

2. After entering the webpage, you can start a conversation with the model

Currently supports text input, uploaded image understanding, uploaded video understanding (due to video memory limitations, only supports video input within 5s, otherwise an error will be reported)

Exchange and discussion

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