LLaVA 1.6 Mistral 7B GGUF
| Property | Value |
|---|---|
| Parameter Count | 7.24B |
| License | Apache 2.0 |
| Training Data | 558K image-text pairs, 158K GPT instructions, 500K VQA data |
| Base Model | Mistral-7B-Instruct-v0.2 |
What is llava-1.6-mistral-7b-gguf?
LLaVA 1.6 Mistral 7B GGUF is a quantized version of the original LLaVA multimodal model, designed for efficient image-text interaction. It combines the powerful Mistral-7B architecture with various quantization levels, offering different compression options from 3 to 8 bits to accommodate different hardware capabilities and performance requirements.
Implementation Details
The model comes in multiple quantized versions, with file sizes ranging from 2.99GB to 7.7GB. The recommended versions are Q4_K_M (4.37GB) for balanced performance, and Q5_K_M (5.13GB) for higher quality with minimal loss.
- Multiple quantization options (Q3_K_XS to Q8_0)
- Based on Mistral-7B-Instruct-v0.2 architecture
- Trained on diverse dataset including LAION/CC/SBU image-text pairs
- Supports image-text-to-text pipeline
Core Capabilities
- Multimodal instruction following
- Visual question answering
- Image captioning and analysis
- Academic task-oriented visual processing
- Conversational AI with image understanding
Frequently Asked Questions
Q: What makes this model unique?
This model uniquely combines the Mistral-7B architecture with LLaVA's multimodal capabilities, offering various quantization options for different deployment scenarios. The Q4_K_M and Q5_K_M versions are particularly notable for their balance of size and performance.
Q: What are the recommended use cases?
The model is primarily intended for researchers and hobbyists in computer vision, NLP, and AI. It excels at visual question answering, image analysis, and multimodal conversation tasks. The different quantization levels allow deployment on various hardware configurations.
