LLaVA v1.6 Vicuna 7B
| Property | Value |
|---|---|
| Parameter Count | 7.06B |
| Model Type | Image-Text-to-Text |
| Architecture | Transformer-based |
| License | LLAMA 2 Community License |
| Training Date | December 2023 |
What is llava-v1.6-vicuna-7b?
LLaVA v1.6 Vicuna 7B is an advanced multimodal chatbot that combines vision and language capabilities. Built on the Vicuna-7b-v1.5 architecture, it's specifically designed to handle both image and text inputs, making it a versatile tool for various AI applications. The model represents a significant advancement in multimodal AI, trained on a diverse dataset of over 1.3 million samples.
Implementation Details
The model is implemented using a transformer architecture with 7.06B parameters, utilizing BF16 tensor type for efficient computation. It's built upon the Vicuna base model and has been fine-tuned on multimodal instruction-following data.
- Based on lmsys/vicuna-7b-v1.5 architecture
- Trained on 558K filtered image-text pairs
- Incorporates 158K GPT-generated instruction data
- Includes 500K academic VQA data
- Enhanced with 50K GPT-4V data and 40K ShareGPT data
Core Capabilities
- Image and text understanding
- Multimodal instruction following
- Visual question answering
- Academic task processing
- Natural language generation
- Complex visual reasoning
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive training on diverse datasets and its ability to handle both academic and general-purpose visual-language tasks. It combines the robust capabilities of Vicuna with enhanced multimodal understanding.
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 question answering, and chatbot development.
