Compare2Score by VQA-CityU

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  Arxiv:2405.19298   Autotrain compatible   Endpoints compatible   Mplug owl2   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/VQA-CityU/Compare2Score 

Compare2Score Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Compare2Score (VQA-CityU/Compare2Score)

Compare2Score Parameters and Internals

Model Type 
Multimodal Image Quality Assessment
Additional Notes 
Implemented in Python with support for remote code execution, trust remote code feature is used from Transformers.
Input Output 
Input Format:
URL or file path for images
Accepted Modalities:
image
Output Format:
Quality score (numeric)
LLM NameCompare2Score
Repository ๐Ÿค—https://huggingface.co/VQA-CityU/Compare2Score 
Model Size7b
Required VRAM16.4 GB
Updated2025-02-22
MaintainerVQA-CityU
Model Typemplug_owl2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.5 GB: 4-of-4   0.0 GB
Model ArchitectureMPLUGOwl2LlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Compare2Score 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227