What is hunyuan-large-vision?
hunyuan-large-vision is a multimodal understanding model launched by Tencent, based on the MoE (Mixture-of-Experts) architecture with 52B activated parameters. It supports image, video, and 3D spatial inputs. The model scored 1256 points on the internationally recognized “LMArena Vision Ranking,” ranking fifth overall and first among domestic models, demonstrating outstanding multilingual capabilities and user experience. It consists of a multi-billion-parameter Hunyuan ViT visual encoder, an MLP connector module with adaptive downsampling, and a 389B-parameter MoE language model. Trained on high-quality multimodal instruction data, it possesses strong visual and language understanding abilities and is widely applied in scenarios such as solving problems via photos, video understanding, and content creation.
hunyuan-large-vision Main Features
-
Image Understanding: Accurately recognizes and interprets images of various resolutions; supports tasks such as solving problems via photos, image classification, and object recognition.
-
Video Understanding: Analyzes and summarizes video content; supports video comprehension and video call assistance.
-
Multilingual Interaction: Supports input and output in multiple languages, offering excellent multilingual understanding and translation capabilities.
-
3D Spatial Understanding: Processes 3D spatial data, enabling analysis and understanding of three-dimensional spaces.
-
Content Creation: Generates textual descriptions or copy based on images or videos, assisting in creative content production.
hunyuan-large-vision Technical Principles
-
Visual Encoder (Hunyuan ViT): A multi-billion-parameter visual encoder that supports native resolution input, accurately extracting visual information from images and videos.
-
MLP Connector Module: Efficiently compresses visual features via an adaptive downsampling mechanism, connecting the visual encoder to the language model.
-
MoE Language Model: With 389B parameters and 52B activated parameters, it provides strong multilingual understanding and reasoning capabilities.
-
High-Quality Multimodal Instruction Data: Trained on an extended set of high-quality multimodal instruction data (over 400B tokens) covering visual recognition, mathematics, science, and more, improving overall model performance.
-
Reject Sampling Fine-Tuning: Filters out erroneous and redundant data to enhance reasoning ability and multilingual robustness.
-
Knowledge Distillation: Extracts knowledge from long-chain reasoning models to optimize short-chain reasoning, enhancing performance on complex tasks.
Project Website
- Official site: https://vision.hunyuan.tencent.com/zh?tabIndex=0
hunyuan-large-vision Application Scenarios
-
Photo-Based Problem Solving: Students can upload a photo of a problem, and the model recognizes the content and provides solutions or solving strategies.
-
Video Subtitle Generation: Automatically generates subtitles for videos in multiple languages, making content accessible to users of different languages.
-
Multilingual Content Creation: Generates copy in various languages based on images or videos, suitable for internationalized content production.
-
Virtual Reality (VR) and Augmented Reality (AR): In VR or AR applications, the model understands objects and scenes in 3D space and provides interactive guidance.
-
Intelligent Customer Service: Users can upload images of product issues, and the model identifies the problem and provides solutions.
