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Emu3 Gen by BAAI

 »  All LLMs  »  BAAI  »  Emu3 Gen   URL Share it on

  3990   
  Arxiv:2409.18869   Any-to-any   Autotrain compatible   Custom code   Emu3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/BAAI/Emu3-Gen 

Emu3 Gen Benchmarks

LLME Score: 0.35666
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Emu3 Gen (BAAI/Emu3-Gen)

Emu3 Gen Parameters and Internals

Model Type 
multimodal, next-token prediction
Use Cases 
Areas:
research, commercial applications
Applications:
image generation, video generation
Primary Use Cases:
generating high-quality images from text prompts, vision-language understanding, video generation
Limitations:
does not depend on a CLIP and a pretrained LLM
Input Output 
Input Format:
text prompts for image or video generation
Accepted Modalities:
images, text, videos
Output Format:
images, videos
LLM NameEmu3 Gen
Repository 🤗https://huggingface.co/BAAI/Emu3-Gen 
Model Size8.5b
Required VRAM33.9 GB
Updated2024-12-21
MaintainerBAAI
Model TypeEmu3
Model Files  4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   4.4 GB: 7-of-7
Model ArchitectureEmu3ForCausalLM
Licenseapache-2.0
Context Length9216
Model Max Length9216
Transformers Version4.44.0
Tokenizer ClassEmu3Tokenizer
Padding Token<|endoftext|>
Vocabulary Size184622
Torch Data Typefloat32

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Emu3 Chat128K / 33.9 GB169471

Rank the Emu3 Gen 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 v20241217
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