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BioGPT Large PubMedQA by microsoft

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  1129   
  Autotrain compatible   Biogpt   Dataset:pubmed qa   En   Endpoints compatible   Medical   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/microsoft/BioGPT-Large-PubMedQA 

BioGPT Large PubMedQA Benchmarks

LLME Score: 0.09582
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BioGPT Large PubMedQA (microsoft/BioGPT-Large-PubMedQA)

BioGPT Large PubMedQA Parameters and Internals

Model Type 
generative, Transformer
Use Cases 
Areas:
biomedical
Applications:
text generation, biomedical literature mining
Additional Notes 
BioGPT is specifically designed for the biomedical domain. It improves fluency in generating biomedical term descriptions.
Supported Languages 
en (proficient)
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameBioGPT Large PubMedQA
Repository 🤗https://huggingface.co/microsoft/BioGPT-Large-PubMedQA 
Required VRAM6.3 GB
Updated2025-02-22
Maintainermicrosoft
Model Typebiogpt
Model Files  6.3 GB
Supported Languagesen
Model ArchitectureBioGptForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.27.0.dev0
Tokenizer ClassBioGptTokenizer
Padding Token<pad>
Vocabulary Size57726
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than microsoft/BioGPT-Large-PubMedQA.

Rank the BioGPT Large PubMedQA 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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