LLaVA-NeXT-Video-7B-DPO
| Property | Value |
|---|---|
| Parameter Count | 7.08B |
| Model Type | Video-Text-to-Text |
| Base Model | lmsys/vicuna-7b-v1.5 |
| License | LLAMA 2 Community License |
| Training Date | April 2024 |
What is LLaVA-NeXT-Video-7B-DPO?
LLaVA-NeXT-Video-7B-DPO is an advanced multimodal chatbot designed to process both video and image inputs. Built on the Vicuna-7B foundation, this model represents a significant advancement in multimodal AI, capable of understanding and generating responses based on visual and textual information.
Implementation Details
The model leverages a sophisticated training approach combining multiple datasets, including both image and video data. It utilizes BF16 tensor type for efficient computation and is built using the Transformers architecture.
- Based on Vicuna-7b-v1.5 architecture
- Trained on extensive multimodal datasets including 558K image-text pairs
- Incorporates 100K VideoChatGPT-Instruct data
- Uses advanced DPO (Direct Preference Optimization) training
Core Capabilities
- Video and image understanding and analysis
- Multimodal instruction following
- Academic task-oriented visual question answering
- Natural language interaction with visual content
- Support for both research and practical applications
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its comprehensive training on both image and video data, including 17k video preference data and GPT-4V integration, making it particularly effective for multimodal tasks.
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 video analysis tasks.
