Qwen2.5-VL-32B-Instruct
Description
️ 🖼Tool Name:
Qwen2.5-VL-32B-Instruct
🔖 Tool Category:
Advanced Vision-Language Model
️ ✏What does this tool offer?
Understanding long images and videos (more than an hour).
Extract text, tables, charts, and graphs from images.
Locate objects within images and output them in JSON format.
Read documents such as invoices and forms with high accuracy.
Work as an independent visual agent able to interact with tools and devices.
⭐ What does the tool actually deliver based on user experience?
Superior performance on multimedia tasks compared to larger models such as Qwen2-VL-72B.
Strong results in MMU, MathVista, and other tests.
Output texts that are organized, smooth, and more in line with user preferences.
🤖 Does it include automation?
Yes, it works as an Autonomous Agent capable of making decisions and performing tasks automatically.
💰 Pricing Model:
Fully open source under the Apache-2.0 license, available for free.
Additional fees only when used via cloud services such as Fireworks.
🆓 Free Plan Details:
Available for free to everyone via Hugging Face, GitHub, and ModelScope.
It doesn't require any subscription or fees.
💳 Paid Plan Details:
There are no paid plans from developers.
Use via cloud platforms may cost (e.g. Fireworks: about $0.9 per million tokens).
🧭 Access Method:
Accessible via Hugging Face, GitHub, or ModelScope.
Supports running locally using libraries like
transformersandvLLM.
🔗 Experience Link:
https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct?utm_source=