LLaVA-v1.5-7B
| Property | Value |
|---|---|
| Release Date | September 2023 |
| License | LLAMA 2 Community License |
| Documentation | Official Website |
| Downloads | 1,134,325 |
What is llava-v1.5-7b?
LLaVA-v1.5-7B is an advanced multimodal chatbot that combines vision and language capabilities. Built by fine-tuning LLaMA/Vicuna, it represents a significant advancement in image-text interaction capabilities. The model utilizes a transformer architecture and is specifically designed for research applications in multimodal AI systems.
Implementation Details
The model is implemented using PyTorch and leverages the transformer architecture for processing both visual and textual inputs. It was trained on a diverse dataset including:
- 558K filtered image-text pairs from LAION/CC/SBU with BLIP captions
- 158K GPT-generated multimodal instruction-following data
- 450K academic VQA data
- 40K ShareGPT data
Core Capabilities
- Image-text understanding and generation
- Multimodal instruction following
- Visual question answering
- Academic task processing
- Natural language interaction with visual context
Frequently Asked Questions
Q: What makes this model unique?
LLaVA-v1.5-7B stands out for its comprehensive training on diverse datasets and its ability to handle both academic and general-purpose visual-language tasks. It's particularly notable for its instruction-following capabilities in multimodal contexts.
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 systems, visual question answering, and chatbot development.
