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Vitstr Small Korean by Bingsu

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Vitstr Small Korean is an open-source language model by Bingsu. Features: LLM, VRAM: 0.1GB, License: mit, LLM Explorer Score: 0.05.

  En   Endpoints compatible   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/Bingsu/vitstr_small-korean 

Vitstr Small Korean Benchmarks

LLME Score: 0.05085
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vitstr Small Korean (Bingsu/vitstr_small-korean)
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Vitstr Small Korean Parameters and Internals

Model Type 
Optical Character Recognition
Use Cases 
Areas:
Text recognition in images
Applications:
Document digitization, text extraction
Primary Use Cases:
Optical character recognition across various domains
Additional Notes 
Doctr OCR model handles recognition and detection tasks separately, leveraging pre-trained architectures for optimal performance.
Supported Languages 
Korean (Proficient)
Training Details 
Data Sources:
Custom OCR training dataset
Data Volume:
1000 training samples, 20 validation samples
Methodology:
OCR recognition using vitstr_small architecture
Model Architecture:
vitstr_small
Input Output 
Input Format:
Images
Accepted Modalities:
Image
Output Format:
Recognized text
LLM NameVitstr Small Korean
Repository 🤗https://huggingface.co/Bingsu/vitstr_small-korean 
Required VRAM0.1 GB
Updated2026-04-18
MaintainerBingsu
Model Files  0.1 GB
Supported Languagesen
Model ArchitectureAutoModel
Licensemit

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Note: green Score (e.g. "73.2") means that the model is better than Bingsu/vitstr_small-korean.

Rank the Vitstr Small Korean Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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