Qari OCR 0.3 SNAPSHOT VL 2B Instruct Merged GGUF
This is a statically quantized version based on the Qari-OCR-0.3-SNAPSHOT-VL-2B-Instruct-merged model, mainly used for image-to-text conversion tasks.
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Release Time : 6/4/2025
Model Overview
This model is a quantization process of the Qari-OCR model from NAMAA-Space, providing multiple quantization options suitable for different hardware environments and performance requirements.
Model Features
Multiple Quantization Options
Provides multiple quantization types from Q2_K to f16 to meet different hardware environments and performance requirements.
Efficient Inference
The quantized model significantly reduces the computational resource requirements while maintaining high accuracy.
Image-to-Text Conversion
Specifically optimized for the task of extracting text content from images.
Model Capabilities
Image OCR
Text Extraction
English Text Recognition
Use Cases
Document Digitization
Scanned Document Conversion
Convert scanned paper documents into editable text formats.
Image Content Analysis
Text Recognition in Images
Extract text content from photos or screenshots.
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