MoMA Llava 7B by KunpengSong

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  Arxiv:2404.05674   Autotrain compatible   Llava   Pytorch   Region:us   Sharded

MoMA Llava 7b Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MoMA Llava 7B (KunpengSong/MoMA_llava_7b)
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MoMA Llava 7B Parameters and Internals

Model Type 
image personalization, multi-modal large language model
Use Cases 
Primary Use Cases:
personalized image generation tasks
LLM NameMoMA Llava 7b
Repository ๐Ÿค—https://huggingface.co/KunpengSong/MoMA_llava_7b 
Model Size7b
Required VRAM14.2 GB
Updated2025-09-23
MaintainerKunpengSong
Model Typellava
Model Files  0.0 GB   10.0 GB: 1-of-2   4.2 GB: 2-of-2
Model ArchitectureLlavaLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than KunpengSong/MoMA_llava_7b.

Rank the MoMA Llava 7B 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 v20241124