Aria-Base-64K
Multimodal native Mixture-of-Experts model
Product Details
Aria-Base-64K is one of the base models of the Aria series, designed for research purposes and continued training. The model is formed after the long text pre-training stage and is trained on 33B tokens (21B multimodal, 12B language, 69% long text). It is suitable for continued pre-training or fine-tuning of long video Q&A data sets or long document Q&A data sets. Even when resources are limited, the data set can be tuned with short instructions for post-training and transferred to long text Q&A scenarios. The model is able to understand up to 250 high-resolution images or up to 500 medium-resolution images and maintains strong base performance in language and multi-modal scenes.
Main Features
How to Use
Target Users
The target audience is researchers and developers, especially professionals who need to process long text and multi-modal data sets. Aria-Base-64K provides a powerful pre-trained model that can be used in scenarios such as video Q&A and long document Q&A to help them improve processing efficiency and accuracy.
Examples
- Use Aria-Base-64K to develop a video question and answer system to improve video content understanding capabilities.
- Apply Aria-Base-64K to long document question and answer to improve the efficiency of document retrieval and understanding.
- Use Aria-Base-64K for joint reasoning of images and text to develop new multi-modal applications.
Quick Access
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