Bunny MMR 8B by AI4VR

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  Arxiv:2406.10638   Autotrain compatible   Bunny-llama   Conversational   Custom code   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/AI4VR/Bunny-MMR-8B 

Bunny MMR 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bunny MMR 8B (AI4VR/Bunny-MMR-8B)

Bunny MMR 8B Parameters and Internals

Model Type 
Multimodal Large Language Model (MLLM)
Additional Notes 
Model is designed to improve robustness of MLLMs when handling negative questions and evaluating understanding capabilities.
Training Details 
Model Architecture:
Built upon SigLIP and Llama-3-8B-Instruct
LLM NameBunny MMR 8B
Repository ๐Ÿค—https://huggingface.co/AI4VR/Bunny-MMR-8B 
Model Size8b
Required VRAM17 GB
Updated2024-12-26
MaintainerAI4VR
Model Typebunny-llama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   2.1 GB: 4-of-4
Model ArchitectureBunnyLlamaForCausalLM
Licensecc-by-4.0
Context Length8192
Model Max Length8192
Transformers Version4.39.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than AI4VR/Bunny-MMR-8B.

Rank the Bunny MMR 8B Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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