LatestMachine LearningQVQ-72B: The Ultimate Visual Reasoning AI You Can Run Locally 0 like December 25, 2024Share this postLast Updated on December 26, 2024 by Editorial TeamAuthor(s): Hasitha Pathum Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium.Imagine having the power of a cutting-edge visual reasoning large language model (LLM) installed locally on your own machine. Its no longer just a dream the QVQ-72B, released under the permissive Apache 2.0 license, is here to make it a reality! Developed by the brilliant Qwen team at Alibaba, QVQ-72B is not just another AI model; its a game-changer for anyone seeking high-performance multimodal reasoning without relying on cloud services.This article dives deep into what makes QVQ-72B unique, why its revolutionary, and how to set it up locally. Whether youre an AI enthusiast, a developer looking for advanced capabilities, or an organization prioritizing data privacy, this guide will equip you with everything you need to know about QVQ-72B.QVQ-72B is a state-of-the-art visual reasoning LLM with 72 billion parameters, specifically designed for tasks that require understanding and reasoning across both text and images. Unlike traditional language models, QVQ-72B integrates advanced visual processing capabilities, enabling it to interpret images, generate contextually relevant text, and solve complex multimodal problems.Key Features:Multimodal Mastery: Combines visual and textual reasoning seamlessly.Scalable Deployment: Fully operable on local hardware setups.Open Source: Released under Apache 2.0, ensuring flexibility Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post