LLaVA-v1.6-34b
| Property | Value |
|---|---|
| Parameter Count | 34.8B |
| Model Type | Image-Text-to-Text |
| Base Model | Nous-Hermes-2-Yi-34B |
| License | Apache-2.0 |
| Training Data Size | 1.3M+ samples |
What is llava-v1.6-34b?
LLaVA-v1.6-34b is an advanced multimodal chatbot that combines vision and language capabilities. Built upon the Nous-Hermes-2-Yi-34B architecture, it represents a significant advancement in multimodal AI, trained through fine-tuning on diverse image-text datasets. Released in December 2023, it's designed to handle complex visual-language tasks with high proficiency.
Implementation Details
The model utilizes a transformer-based architecture and is implemented in BF16 precision. It's trained on a comprehensive dataset including 558K filtered image-text pairs, 158K GPT-generated instructions, 500K academic VQA data, 50K GPT-4V data, and 40K ShareGPT samples.
- Auto-regressive language model architecture
- Fine-tuned on multimodal instruction-following data
- Optimized for research and practical applications
- Supports complex visual-language tasks
Core Capabilities
- Visual Question Answering (VQA)
- Image-text understanding and generation
- Multimodal instruction following
- Academic task-oriented analysis
- Conversational AI with visual context
Frequently Asked Questions
Q: What makes this model unique?
LLaVA-v1.6-34b stands out due to its large parameter count (34.8B) and comprehensive training on diverse datasets, making it particularly effective for research and real-world applications in multimodal AI.
Q: What are the recommended use cases?
The model is primarily intended for researchers and hobbyists in computer vision, NLP, and AI. It excels in tasks like visual question answering, image understanding, and multimodal conversations.
