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Cogvlm Grounding Generalist Hf by THUDM

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  Arxiv:2311.03079   Autotrain compatible   Custom code   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/THUDM/cogvlm-grounding-generalist-hf 

Cogvlm Grounding Generalist Hf Benchmarks

LLME Score: 0.13059
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cogvlm Grounding Generalist Hf (THUDM/cogvlm-grounding-generalist-hf)
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Cogvlm Grounding Generalist Hf Parameters and Internals

Model Type 
visual language model, multimodal
Use Cases 
Areas:
research, commercial applications
Applications:
cross-modal benchmarks, multimodal dialogue
Primary Use Cases:
image description, object coordinate extraction
Supported Languages 
English (high)
Training Details 
Model Architecture:
vision transformer (ViT) encoder, an MLP adapter, a pretrained large language model (GPT), and a visual expert module
Input Output 
Input Format:
Text prompt with image input as PIL Image
Accepted Modalities:
text, image
Output Format:
Textual description with object coordinates.
LLM NameCogvlm Grounding Generalist Hf
Repository 🤗https://huggingface.co/THUDM/cogvlm-grounding-generalist-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
Model ArchitectureCogVLMForCausalLM
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-grounding-generalist-hf.

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Release v20241124
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