Cogagent Vqa Hf by THUDM

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  Arxiv:2311.03079   Arxiv:2312.08914   Autotrain compatible   Custom code   En   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/THUDM/cogagent-vqa-hf 

Cogagent Vqa Hf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cogagent Vqa Hf (THUDM/cogagent-vqa-hf)
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Cogagent Vqa Hf Parameters and Internals

Model Type 
Visual Language Model
Use Cases 
Areas:
Research, Academic, Commercial Applications
Applications:
GUI Agent, Visual Dialogue, Visual Grounding
Primary Use Cases:
GUI Agent, Visual Dialogue, Visual Grounding
Additional Notes 
This version is focused on single-turn visual dialogue and VQA benchmarks.
Supported Languages 
English (fluent)
Training Details 
Data Sources:
MiniGPT-4, LLAVA, LRV-Instruction, LLaVAR, Shikra
Methodology:
Improved based on CogVLM
Input Output 
Accepted Modalities:
Text, Image
LLM NameCogagent Vqa Hf
Repository ๐Ÿค—https://huggingface.co/THUDM/cogagent-vqa-hf 
Model Size18.3b
Required VRAM36.8 GB
Updated2025-07-28
MaintainerTHUDM
Model Files  5.0 GB: 1-of-8   5.0 GB: 2-of-8   5.0 GB: 3-of-8   5.0 GB: 4-of-8   5.0 GB: 5-of-8   5.0 GB: 6-of-8   5.0 GB: 7-of-8   1.8 GB: 8-of-8
Supported Languagesen
Model ArchitectureCogAgentForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.36.0.dev0
Vocabulary Size32000
Torch Data Typebfloat16

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124