ShareGPT4V-7B
| Property | Value |
|---|---|
| Release Date | November 2023 |
| License | LLAMA 2 Community License |
| Paper | Research Paper |
| Training Data | 1.2M image-text pairs + 100K GPT4-Vision pairs |
What is ShareGPT4V-7B?
ShareGPT4V-7B is an advanced open-source multimodal chatbot that combines CLP vision capabilities with LLaMA/Vicuna language processing. It represents a significant advancement in visual-language understanding, trained on a massive dataset of high-quality image-text pairs and GPT4-Vision-generated content.
Implementation Details
The model architecture integrates a CLP vision tower with LLaMA/Vicuna language processing capabilities, fine-tuned on the ShareGPT4V dataset and LLaVA instruction-tuning data. It can be implemented using either the original Share4VLlamaForCausalLM architecture or adapted to work with the LLaVA repository.
- Trained on 1.2M high-quality image-text pairs
- Incorporates 100K GPT4-Vision-generated pairs
- Compatible with LLaVA repository through configuration adjustments
- Evaluated across 11 different benchmarks
Core Capabilities
- Advanced image-text understanding and generation
- Multimodal conversation handling
- Research-oriented visual language processing
- Flexible implementation options
Frequently Asked Questions
Q: What makes this model unique?
ShareGPT4V-7B stands out for its integration of GPT4-Vision-assisted training data and its ability to process both visual and textual information effectively. The model's architecture allows for seamless integration with existing frameworks while maintaining high-quality performance.
Q: What are the recommended use cases?
The model is primarily intended for research purposes in computer vision, natural language processing, and AI. It's particularly suitable for researchers and hobbyists working on multimodal AI applications, visual-language understanding, and advanced chatbot development.
