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Untitled7 Colab Checkpoint by SE6446

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  Autotrain compatible   Dataset:poloclub/diffusiondb   En   Endpoints compatible   Git   Image-to-text   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/SE6446/Untitled7-colab_checkpoint 

Untitled7 Colab Checkpoint Benchmarks

LLME Score: 0.13415
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Untitled7 Colab Checkpoint (SE6446/Untitled7-colab_checkpoint)

Untitled7 Colab Checkpoint Parameters and Internals

Model Type 
image-to-text
Use Cases 
Areas:
Fun
Limitations:
The model does not produce accurate prompts.
Additional Notes 
This is my first public model so please be nice!
Supported Languages 
en (unknown)
Training Details 
Data Sources:
poloclub/diffusiondb
Data Volume:
1k subset
Methodology:
Finetune
Responsible Ai Considerations 
Transparency:
Bias present in the original git-large-coco model can affect this model.
Input Output 
Accepted Modalities:
image
Output Format:
text
Performance Tips:
If you want to further finetune it then you should freeze the embedding and vision transformer layers.
LLM NameUntitled7 Colab Checkpoint
Repository 🤗https://huggingface.co/SE6446/Untitled7-colab_checkpoint 
Required VRAM1.6 GB
Updated2024-10-31
MaintainerSE6446
Model Typegit
Model Files  1.6 GB
Supported Languagesen
Model ArchitectureGitForCausalLM
Licenseunlicense
Context Length1024
Model Max Length1024
Transformers Version4.33.3
Tokenizer ClassBertTokenizer
Padding Token[PAD]
Vocabulary Size30522
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than SE6446/Untitled7-colab_checkpoint.

Rank the Untitled7 Colab Checkpoint 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 v20241227
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