Video LLaVA 7B by LanguageBind

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  Arxiv:2310.01852   Arxiv:2311.10122   Autotrain compatible   Endpoints compatible   Llava   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Video 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").
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Video LLaVA 7B Parameters and Internals

Model Type 
multimodal, vision-language
Use Cases 
Areas:
research
Additional Notes 
This model allows for novel interaction with both images and videos without the need for direct image-video pairing during training.
Input Output 
Accepted Modalities:
text, image, video
LLM NameVideo LLaVA 7B
Repository ๐Ÿค—https://huggingface.co/LanguageBind/Video-LLaVA-7B 
Model Size7b
Required VRAM15 GB
Updated2024-12-04
MaintainerLanguageBind
Model Typellava
Model Files  10.0 GB: 1-of-2   5.0 GB: 2-of-2   10.0 GB: 1-of-2   5.0 GB: 2-of-2
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
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 Typebfloat16
Video LLaVA 7B (LanguageBind/Video-LLaVA-7B)

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Note: green Score (e.g. "73.2") means that the model is better than LanguageBind/Video-LLaVA-7B.

Rank the Video 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