

POINTS 1 5 Qwen 2 5 7B Chat
Overview :
The latest update in the WePOINTS series features a large parameter count and robust performance, incorporating multiple innovative technologies and excelling in the OpenCompass leaderboard.
Target Users :
Ideal for researchers, developers, and enterprises, offering a powerful visual language model that supports bilingual capabilities and high-quality datasets for real-world applications.
Use Cases
Used for image recognition and description generation
Adjusting visual instructions in a multilingual environment
As a research tool for exploring new applications
Features
Native dynamic high resolution capable of processing various images
Bilingual support, with future plans to add more languages
Quality control testing of pre-trained models and datasets
Model soup technology to enhance performance
Support for custom code development
High parameter count ensures powerful performance
Adaptability to various data types to meet diverse needs
How to Use
1. Install necessary libraries
2. Clone the repository
3. Install WePOINTS
4. Import models and tools
5. Load models and processors
6. Prepare input data
7. Construct content and messages
8. Configure generation parameters
9. Call the model to engage in conversation
10. Print the response results
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