LLaVA v1.6 Vicuna 13B
| Property | Value |
|---|---|
| Parameter Count | 13.4B |
| Model Type | Image-Text-to-Text |
| Base Model | Vicuna-13b-v1.5 |
| License | LLAMA 2 Community License |
| Training Date | December 2023 |
What is llava-v1.6-vicuna-13b?
LLaVA v1.6 Vicuna 13B is a sophisticated multimodal AI model that combines vision and language capabilities. Built on the Vicuna-13b-v1.5 architecture, it's specifically designed for research applications in multimodal AI, enabling advanced image understanding and natural language interaction.
Implementation Details
The model is implemented as an auto-regressive language model based on the transformer architecture. It leverages BF16 tensor type for efficient computation and has been trained on a diverse dataset including 558K image-text pairs, 158K GPT-generated instructions, and various specialized datasets for academic and general-purpose tasks.
- Built on Vicuna-13b-v1.5 base model
- Trained on multiple specialized datasets
- Implements BF16 precision
- Supports multimodal instruction-following capabilities
Core Capabilities
- Advanced image-text understanding and generation
- Multimodal instruction following
- Academic task-oriented visual question answering
- Natural language interaction with visual context
- Research-focused applications in computer vision and NLP
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive training on diverse datasets, including 50K GPT-4V data and 40K ShareGPT data, making it particularly effective for research applications in multimodal AI. Its architecture is optimized for both visual understanding and natural language processing tasks.
Q: What are the recommended use cases?
The model is primarily intended for researchers and hobbyists in computer vision, natural language processing, and AI. It excels in academic research, visual question answering, and multimodal instruction-following tasks.
