GLaMM GranD Pretrained by MBZUAI

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  Arxiv:2311.03356   Autotrain compatible   Endpoints compatible   Llava   Pytorch   Region:us   Sharded

GLaMM GranD Pretrained Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GLaMM GranD Pretrained (MBZUAI/GLaMM-GranD-Pretrained)

GLaMM GranD Pretrained Parameters and Internals

Model Type 
detailed region-level understanding, segmentation
Training Details 
Data Sources:
GranD dataset
Data Volume:
810M regions with a segmentation mask
LLM NameGLaMM GranD Pretrained
Repository ๐Ÿค—https://huggingface.co/MBZUAI/GLaMM-GranD-Pretrained 
Required VRAM16.8 GB
Updated2025-02-22
MaintainerMBZUAI
Model Typellava
Model Files  10.0 GB: 1-of-2   6.8 GB: 2-of-2
Model ArchitectureLISAForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32007
Torch Data Typebfloat16

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Rank the GLaMM GranD Pretrained 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227