Callisto OCR3 2B Instruct by prithivMLmods

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Callisto OCR3 2B Instruct is an open-source language model by prithivMLmods. Features: 2b LLM, VRAM: 4.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

  2b Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-vl-2b-in...   Callisto   Conversational   Dataset:linxy/latex ocr Dataset:mychen76/invoices-and-... Dataset:prithivmlmods/img2text... Dataset:prithivmlmods/img2text...   Dataset:unsloth/latex ocr   En   Endpoints compatible   Feature-extraction   Image-text-to-text   Instruct   Key information extraction   Kie   Messy handwriting recognition   Ocr   Ocr#3   Qwen2 vl   Rag   Region:us   Safetensors   Vlm

Callisto OCR3 2B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Callisto OCR3 2B Instruct Parameters and Internals

LLM NameCallisto OCR3 2B Instruct
Repository 🤗https://huggingface.co/prithivMLmods/Callisto-OCR3-2B-Instruct 
Base Model(s)  Qwen2 VL 2B Instruct   Qwen/Qwen2-VL-2B-Instruct
Model Size2b
Required VRAM4.4 GB
Updated2026-04-01
MaintainerprithivMLmods
Model Typeqwen2_vl
Instruction-BasedYes
Model Files  4.4 GB
Supported Languagesen
Model ArchitectureQwen2VLModel
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.50.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Rank the Callisto OCR3 2B Instruct 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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Release v20260328a