LLaVA Interleave Qwen 0.5B
| Property | Value |
|---|---|
| Base Model | Qwen1.5-7B-Chat |
| Research Paper | LLaVA Project |
| License | Research Only (Non-commercial) |
| Primary Use | Multimodal Research |
What is llava-interleave-qwen-0.5b-hf?
LLaVA Interleave is an advanced multimodal chatbot designed for research purposes, built on the Qwen1.5-7B-Chat architecture. It represents a significant advancement in multimodal AI, capable of processing and understanding multiple images, videos, and 3D inputs simultaneously.
Implementation Details
The model implements a sophisticated transformer-based architecture with support for multiple input modalities. It features seamless integration with the Hugging Face transformers library and supports various optimization techniques including 4-bit quantization and Flash-Attention 2.
- Multi-image and multi-prompt generation capability
- Support for video and 3D input processing
- Flexible chat template system
- Compatible with both URL and local image inputs
Core Capabilities
- Processing multiple images in a single conversation turn
- Handling interleaved image and video inputs
- Supporting various input formats including local files and URLs
- Optimized performance with Flash-Attention 2 support
- 4-bit quantization support for efficient inference
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its ability to process multiple types of visual inputs (images, videos, 3D) in an interleaved fashion, making it particularly valuable for complex multimodal research applications.
Q: What are the recommended use cases?
The model is primarily intended for researchers and hobbyists in computer vision, NLP, and AI. It's specifically designed for research exploration and is not licensed for commercial applications.
