Llama 3 MixSense by Zero-Vision

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  Autotrain compatible   Custom code   Mixsense llama   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 MixSense Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 MixSense (Zero-Vision/Llama-3-MixSense)

Llama 3 MixSense Parameters and Internals

Model Type 
vision encoder-projector-LLM architecture, multimodal
Additional Notes 
Our code is largely borrowed from LLaVA. Demo built according to Bunny.
Training Details 
Methodology:
Innovative data processing method
Model Architecture:
Built with Meta Llama 3 as the text encoder and SigLIP 400M as the vision encoder
LLM NameLlama 3 MixSense
Repository ๐Ÿค—https://huggingface.co/Zero-Vision/Llama-3-MixSense 
Model Size8.5b
Required VRAM17 GB
Updated2025-06-01
MaintainerZero-Vision
Model Typemixsense_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 ArchitectureMixsenseLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.37.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size128257
Torch Data Typebfloat16

Rank the Llama 3 MixSense 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 v20241227