Cogvlm Base 490 Hf by THUDM

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  Arxiv:2311.03079   Autotrain compatible   Custom code   En   Region:us   Safetensors   Sharded   Tensorflow

Cogvlm Base 490 Hf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cogvlm Base 490 Hf (THUDM/cogvlm-base-490-hf)
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Cogvlm Base 490 Hf Parameters and Internals

Model Type 
multimodal, vision-language
Use Cases 
Areas:
research, commercial applications
Applications:
multimodal dialogue, image captioning, visual question answering
Primary Use Cases:
multimodal dialogue about images
Limitations:
ranking second in some benchmarks compared to PaLI-X 55B
Considerations:
Model includes vision transformer encoder, MLP adapter, and pretrained language model.
Additional Notes 
CogVLM-17B has 10 billion vision parameters and 7 billion language parameters. It uses a vision transformer encoder, MLP adapter, and pretrained GPT.
Supported Languages 
en (proficient)
LLM NameCogvlm Base 490 Hf
Repository ๐Ÿค—https://huggingface.co/THUDM/cogvlm-base-490-hf 
Model Size17.6b
Required VRAM35.4 GB
Updated2025-07-28
MaintainerTHUDM
Model Files  4.9 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   0.5 GB: 8-of-8
Supported Languagesen
Model ArchitectureCogVLMForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.0
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than THUDM/cogvlm-base-490-hf.

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