Valley
Valley is a powerful multimodal model excelling in text, image, and video analysis, optimized for e-commerce and video benchmarks, offering pre-trained models for easy integration.
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What is Valley?
Valley is a cutting-edge multimodal large model developed by ByteDance that can handle tasks involving text, images, and videos. It excels in e-commerce and short video benchmarks, outperforming other open-source models. In the OpenCompass test, it scores an average of at least 67.40, ranking second among models under 10 billion parameters. The Valley-Eagle version includes a visual encoder that can adjust token numbers flexibly and works parallel to original visual tokens, enhancing performance in extreme scenarios.
Who Can Benefit from Valley?
Valley is ideal for researchers, developers, and businesses dealing with extensive multimedia data. It is particularly useful for sectors needing image and video analysis, content understanding, and multimedia interactions such as social media analysis, video content management, and intelligent surveillance.
Example Scenarios:
Social media platforms use Valley to analyze user-uploaded images and videos, improving content recommendations.
E-commerce sites utilize Valley to analyze product images, optimizing displays and search results.
Video surveillance systems leverage Valley for real-time video analysis, boosting efficiency and accuracy in security monitoring.
Key Features:
Handles multimodal tasks including text, images, and videos
Achieves top results in e-commerce and short video benchmarks
Performs well in OpenCompass tests with an average score of at least 67.40
Introduces a visual encoder to enhance performance in extreme scenarios
Supports flexible adjustment of visual token numbers
Processes original visual tokens and new visual encoders in parallel
Provides a pre-trained model called Valley-Eagle-7B for easy use
How to Use Valley:
1. Install necessary environment, such as Python and PyTorch.
2. Install dependencies listed in requirements.txt via pip.
3. Download and use the provided pre-trained model like Valley-Eagle-7B.
4. Use Valley’s API for analyzing images or videos.
5. Adjust model parameters as needed for specific applications.
6. Integrate Valley into existing systems for handling multimodal data.
7. Monitor and evaluate model performance, optimizing based on feedback.
