LLaVA 1.5 13B
| Property | Value |
|---|---|
| Parameter Count | 13.4B |
| Model Type | Image-Text-to-Text |
| Architecture | Transformer-based |
| License | Llama 2 |
| Paper | arXiv:2304.08485 |
What is llava-1.5-13b-hf?
LLaVA 1.5 13B is a sophisticated multimodal language model that bridges the gap between vision and language understanding. Built upon the LLaMA/Vicuna architecture, it's specifically fine-tuned to handle image-based conversations and instructions. Released in September 2023, this model represents a significant advancement in multimodal AI capabilities.
Implementation Details
The model is implemented using the transformers library and supports both FP16 precision and 4-bit quantization. It features Flash-Attention 2 optimization for improved performance and can process multiple images and prompts simultaneously.
- Supports multi-image and multi-prompt generation
- Implements specific prompt template (USER: xxx\nASSISTANT:)
- Compatible with Flash-Attention 2 for enhanced speed
- Offers 4-bit quantization through bitsandbytes
Core Capabilities
- Natural image-text conversation handling
- Multi-image processing in single prompts
- Instruction-following for image-related tasks
- Efficient memory management with various optimization options
- Support for both pipeline and pure transformers implementation
Frequently Asked Questions
Q: What makes this model unique?
LLaVA 1.5 13B stands out for its ability to handle complex image-text interactions while maintaining high-quality conversational abilities. Its architecture allows for efficient processing of multiple images and supports various optimization techniques for different deployment scenarios.
Q: What are the recommended use cases?
The model excels in image-based conversation, visual question answering, image description, and multimodal instruction following. It's particularly useful for applications requiring natural language interaction about visual content, such as educational tools, content analysis, and assistive technologies.
