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Git Base by microsoft

 »  All LLMs  »  microsoft  »  Git Base   URL Share it on

  2035568   
  Arxiv:2205.14100   Autotrain compatible   En   Endpoints compatible   Git   Image-captioning   Image-to-text   Pytorch   Region:us   Safetensors   Vision
Model Card on HF 🤗: https://huggingface.co/microsoft/git-base 

Git Base Benchmarks

LLME Score: 0.16637
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Git Base (microsoft/git-base)
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Git Base Parameters and Internals

Model Type 
image-to-text, vision
Use Cases 
Areas:
research, commercial applications
Applications:
image and video captioning, visual question answering, image classification
Primary Use Cases:
image captioning
Additional Notes 
The model is trained using "teacher forcing" method and uses a bidirectional attention mask for image tokens and causal attention mask for text tokens.
Training Details 
Data Sources:
COCO, Conceptual Captions (CC3M), SBU, Visual Genome (VG), Conceptual Captions (CC12M), ALT200M, extra data following Hu et al. (2021a)
Data Volume:
10 million image-text pairs for GIT-base
Methodology:
Teacher forcing on a lot of (image, text) pairs
Model Architecture:
Transformer decoder conditioned on CLIP image tokens and text tokens
LLM NameGit Base
Repository 🤗https://huggingface.co/microsoft/git-base 
Model Namemicrosoft/git-base
Model Size176.6m
Required VRAM0.7 GB
Updated2024-10-31
Maintainermicrosoft
Model Typegit
Model Files  0.7 GB   0.7 GB
Supported Languagesen
Model ArchitectureGitForCausalLM
Licensemit
Context Length1024
Model Max Length1024
Tokenizer ClassBertTokenizer
Padding Token[PAD]
Vocabulary Size30522
Torch Data Typefloat32

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Rank the Git Base 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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Release v20241124
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