BakLLaVA-1
| Property | Value |
|---|---|
| License | Apache 2.0 |
| Architecture | Mistral 7B + LLaVA 1.5 |
| Developer | SkunkworksAI |
| Primary Task | Multimodal Vision-Language Processing |
What is BakLLaVA-1?
BakLLaVA-1 represents a significant advancement in multimodal AI, combining the Mistral 7B base model with LLaVA 1.5 architecture. Developed by SkunkworksAI in collaboration with Ontocord and LAION, this model demonstrates superior performance compared to Llama 2 13B on several benchmarks, despite its smaller size.
Implementation Details
The model leverages a comprehensive training dataset comprising over 1.2 million samples, including 558K filtered image-text pairs from LAION/CC/SBU, 158K GPT-generated multimodal instructions, 450K academic VQA data, and 40K ShareGPT data. The architecture builds upon the proven LLaVA framework while utilizing the efficient Mistral 7B base.
- Advanced vision-language capabilities
- Optimized for instruction-following tasks
- Enhanced academic task performance
- Efficient 7B parameter footprint
Core Capabilities
- Multimodal understanding and generation
- Visual question answering
- Image-based instruction following
- Academic task processing
Frequently Asked Questions
Q: What makes this model unique?
BakLLaVA-1's uniqueness lies in its ability to outperform larger models while using a smaller parameter count, specifically beating Llama 2 13B despite being based on a 7B parameter model. It also features a carefully curated training dataset focusing on academic and instruction-following tasks.
Q: What are the recommended use cases?
The model is particularly well-suited for academic and research applications, visual question answering, and general multimodal tasks. However, users should note that while it's open-source, some training data includes LLaVA's corpus which has commercial use restrictions.
