hunyuan-large-vision - A multimodal visual understanding model launched by Tencent Hunyuan
hunyuan-large-vision is a multimodal understanding model launched by Tencent. Based on the MoE architecture, it has 52-bit activation parameters and supports image, video, and 3D spatial input. The model has been showcased in the internationally renowned large-scale model arena, LMA Arena Vision...
What is hunyuan-large-vision?
Hunyuan-large-vision is a multimodal understanding model launched by Tencent. Based on the MoE architecture, it has 52 bytes of activation parameters and supports image, video, and 3D spatial input. The model achieved a score of 1256 on the internationally renowned large-scale model competition platform "LMArena Vision," ranking fifth (first among domestic models), demonstrating outstanding multilingual capabilities and user experience. The model consists of a Hunyuan ViT visual encoder with billions of parameters, an MLP connector module with an adaptive downsampling mechanism, and a 389-byte MoE language model. Trained with high-quality multimodal instruction data, it possesses powerful visual and language understanding capabilities and is widely used in scenarios such as photo-based problem solving, video understanding, and copywriting.
The main functions of hunyuan-large-vision
- Image understandingIt can accurately identify and understand image content of various resolutions, and supports tasks such as photo-based problem solving, image classification, and object recognition.
- Video UnderstandingIt supports the analysis and summarization of video content, and supports functions such as video understanding and video call assistance.
- Multilingual interactionIt supports input and output in multiple languages and has excellent multilingual understanding and translation capabilities.
- 3D spatial understandingIt can process 3D spatial data and support the analysis and understanding of three-dimensional space.
- CopywritingGenerate relevant text descriptions or copy based on image or video content to assist in content creation.
The technical principle of hunyuan-large-vision
- Visual encoder (ViT)It uses a visual encoder with billions of parameters, supports native resolution input, and can accurately extract visual information from images and videos.
- MLP connector moduleIt efficiently compresses visual features based on an adaptive downsampling mechanism and connects the visual encoder and the language model.
- MoE Language ModelIt has 389B parameters and 52B activation parameters, providing powerful multilingual understanding and reasoning capabilities.
- High-quality multimodal command dataBased on extended high-quality multimodal instruction data (over 400B tokens), covering topics such as visual recognition, mathematics, and science, it improves model performance.
- Refusal to sample fine-tuningBy filtering out errors and redundant data, the model's reasoning ability and multilingual robustness are enhanced.
- Knowledge distillationExtract knowledge from long thought chain models, optimize short thought chain reasoning, and improve the model's performance in complex tasks.
The project address for hunyuan-large-vision
- Project official websitehttps://vision.hunyuan.tencent.com/zh?tabIndex=0
Application scenarios of hunyuan-large-vision
- Solve problems by taking photosStudents upload photos of questions, and the model recognizes the question content and provides solutions or answers.
- Video subtitle generationIt automatically generates subtitles for videos, supports multiple languages, and is convenient for users of different languages to watch.
- Multilingual copywritingGenerates text in different languages based on image or video content, suitable for international content creation.
- Virtual Reality (VR) and Augmented Reality (AR)In VR or AR applications, the model can understand objects and scenes in 3D space and provide interactive prompts.
- Intelligent Customer ServiceUsers upload images of product issues, the model identifies the problems, and provides solutions.