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Llava Med 7B Delta by microsoft

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Llava Med 7B Delta is an open-source language model by microsoft. Features: 7b LLM, VRAM: 13.5GB, License: other, LLM Explorer Score: 0.12.

  Arxiv:2306.00890   Endpoints compatible   Llava   Medical   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/microsoft/llava-med-7b-delta 

Llava Med 7B Delta Benchmarks

LLME Score: 0.11676
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llava Med 7B Delta (microsoft/llava-med-7b-delta)
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Llava Med 7B Delta Parameters and Internals

Model Type 
large language model, vision model
Use Cases 
Areas:
research, biomedical vision-language processing
Primary Use Cases:
Supporting AI researchers in biomedical vision-language processing
Limitations:
Not suitable for clinical care or decision making
Additional Notes 
Users need to apply delta weights on top of the original LLaMA weights to get actual LLaVA weights.
Training Details 
Data Sources:
PMC-15M dataset
Methodology:
Curriculum learning for adapting LLaVA to the biomedical domain.
Training Time:
One day
LLM NameLlava Med 7B Delta
Repository 🤗https://huggingface.co/microsoft/llava-med-7b-delta 
Model Size7b
Required VRAM13.5 GB
Updated2026-03-27
Maintainermicrosoft
Model Typellava
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlavaLlamaForCausalLM
Licenseother
Model Max Length1024
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32004
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than microsoft/llava-med-7b-delta.

Rank the Llava Med 7B Delta 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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