InternViT-6B-448px-V1-5
| Property | Value |
|---|---|
| Parameter Count | 5.54B |
| License | MIT |
| Paper | arXiv:2404.16821 |
| Model Type | Vision Foundation Model |
| Tensor Type | BF16 |
What is InternViT-6B-448px-V1-5?
InternViT-6B-448px-V1-5 is an advanced vision foundation model that builds upon its predecessor V1-2. It represents a significant evolution in visual processing capabilities, featuring dynamic resolution handling and enhanced OCR capabilities. The model has been streamlined from 48 to 45 blocks, optimizing its parameter count from 5.9B to 5.54B while maintaining exceptional performance.
Implementation Details
The model operates on a dynamic 448×448 pixel resolution with support for 1-12 tiles, allowing for flexible image processing. It's trained on a diverse set of datasets including LAION-en, LAION-zh, COYO, and various OCR-specific datasets. The architecture employs BF16 precision and is specifically optimized for MLLM (Multi-Modal Language Model) applications.
- Optimized architecture with 45 transformer blocks
- Dynamic resolution support with 1-12 tiles
- Enhanced OCR capabilities through specialized training
- Efficient BF16 tensor format implementation
Core Capabilities
- High-resolution image processing
- Robust OCR functionality for both English and Chinese text
- Feature extraction for downstream tasks
- Efficient memory utilization through architectural optimization
Frequently Asked Questions
Q: What makes this model unique?
The model's ability to handle dynamic resolutions with multiple tiles, combined with its enhanced OCR capabilities and optimized architecture, makes it particularly suited for complex vision tasks while maintaining efficiency.
Q: What are the recommended use cases?
This model excels in image feature extraction, OCR tasks, and as a backbone for larger multi-modal systems. It's particularly well-suited for applications requiring high-resolution image understanding and text recognition capabilities.
