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Uform Vl English by unum-cloud

 »  All LLMs  »  unum-cloud  »  Uform Vl English   URL Share it on

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  Clip Dataset:christophschuhmann/ms ...   Dataset:sbu captions   Dataset:visual genome   Endpoints compatible   Feature-extraction   Region:us   Vision
Model Card on HF 🤗: https://huggingface.co/unum-cloud/uform-vl-english 

Uform Vl English Benchmarks

LLME Score: 0.07206
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Uform Vl English (unum-cloud/uform-vl-english)
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Uform Vl English Parameters and Internals

Model Type 
Multimodal, Text, Image
Use Cases 
Areas:
Semantic Search, Feature Extraction
Applications:
Multimodal encoding for text and images
Primary Use Cases:
Multimodal re-ranking, Semantic compatibility evaluation
Limitations:
Resource-intensive for large collections
Additional Notes 
English language model, Multilingual version available separately.
Supported Languages 
English (Fluent)
Training Details 
Data Sources:
SBU Captions, Visual Genome, MS_COCO
Methodology:
The model uses a combination of BERT layers for unimodal and multimodal encoding, along with a Vision Transformer.
Model Architecture:
4 BERT layers (2 unigmodal, 2 multimodal), ViT-B/16 for images
Input Output 
Input Format:
Image and Text
Accepted Modalities:
Text, Image
Output Format:
Multimodal Vector Encodings
Performance Tips:
Unimodal encoding is faster. For joint embedding, use pre-encoded features.
LLM NameUform Vl English
Repository 🤗https://huggingface.co/unum-cloud/uform-vl-english 
Required VRAM0.6 GB
Updated2025-08-18
Maintainerunum-cloud
Model Files  0.6 GB   0.6 GB
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than unum-cloud/uform-vl-english.

Rank the Uform Vl English Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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