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Cogvlm Grounding Base Hf by THUDM

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Cogvlm Grounding Base Hf is an open-source language model by THUDM. Features: 17.6b LLM, VRAM: 35.4GB, Context: 2K, LLM Explorer Score: 0.11.

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

Cogvlm Grounding Base Hf Benchmarks

LLME Score: 0.10624
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cogvlm Grounding Base Hf (THUDM/cogvlm-grounding-base-hf)
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Cogvlm Grounding Base Hf Parameters and Internals

Model Type 
vision-language model
Training Details 
Model Architecture:
vision transformer (ViT) encoder, MLP adapter, pretrained large language model (GPT), visual expert module
Input Output 
Input Format:
Text queries combined with images
Accepted Modalities:
text, image
Output Format:
Text
LLM NameCogvlm Grounding Base Hf
Repository 🤗https://huggingface.co/THUDM/cogvlm-grounding-base-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

Best Alternatives to Cogvlm Grounding Base Hf

Best Alternatives
Context / RAM
Downloads
Likes
Cogvlm Chat Hf2K / 35.4 GB6476198
Cogvlm Chat Hf2K / 35.4 GB2276199
Cogvlm Grounding Generalist Hf2K / 35.4 GB35316
Cogvlm Grounding Generalist Hf2K / 35.4 GB22716
Cogvlm Base 490 Hf2K / 35.4 GB787
Image To Text2K / 35.4 GB82
Cogvlm Base 490 Hf2K / 35.4 GB207
Cogvlm Base 224 Hf2K / 35.4 GB245
Cogvlm Base 224 Hf2K / 35.4 GB135
Cogvlm Grounding Base Hf2K / 35.4 GB203
Note: green Score (e.g. "73.2") means that the model is better than THUDM/cogvlm-grounding-base-hf.

Rank the Cogvlm Grounding Base Hf 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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