Granite Vision 3.2 2B GGUF
| Property | Value |
|---|---|
| Model Size | 2 Billion Parameters |
| Context Length | 16,000 tokens |
| Source | IBM-Granite |
| Hugging Face | lmstudio-community/granite-vision-3.2-2b-GGUF |
What is granite-vision-3.2-2b-GGUF?
Granite Vision 3.2 is a specialized visual document understanding model developed by IBM-Granite and optimized through GGUF quantization by the LM Studio community. This 2B parameter model represents a significant advancement in automated content extraction from various visual documents, combining powerful vision capabilities with efficient processing.
Implementation Details
The model has been optimized using llama.cpp's latest quantization techniques, making it more efficient while maintaining its core capabilities. It supports an impressive context length of 16,000 tokens, allowing for comprehensive analysis of lengthy documents and complex visual content.
- GGUF quantization based on llama.cpp release b4778
- Optimized for efficient processing and deployment
- Extended context window of 16k tokens
- Specialized in visual document understanding
Core Capabilities
- Table and chart content extraction and analysis
- OCR (Optical Character Recognition)
- Infographic and diagram interpretation
- Plot analysis and data extraction
- General image understanding and processing
- Document-based question answering
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized focus on visual document understanding, combining OCR capabilities with advanced chart and table analysis. Its 16k token context window makes it particularly suitable for processing lengthy documents with complex visual elements.
Q: What are the recommended use cases?
The model excels in business and research applications requiring automated extraction of information from visual documents, including financial reports, scientific papers with charts, business presentations, and any documents containing tables or graphical data representations.
