BioGPT Large by microsoft

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  Autotrain compatible   Biogpt   Dataset:pubmed   En   Endpoints compatible   Medical   Pytorch   Region:us
Model Card on HF ๐Ÿค—: https://huggingface.co/microsoft/BioGPT-Large 

BioGPT Large Benchmarks

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

BioGPT Large Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
biomedical domain
Primary Use Cases:
biomedical text generation and mining
Additional Notes 
Evaluated on six biomedical natural language processing tasks.
Training Details 
Data Sources:
large-scale biomedical literature
Methodology:
Pre-trained generative Transformer language model
Model Architecture:
Transformers
LLM NameBioGPT Large
Repository ๐Ÿค—https://huggingface.co/microsoft/BioGPT-Large 
Required VRAM6.3 GB
Updated2024-12-30
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 Size57717
Torch Data Typefloat32

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

Rank the BioGPT Large 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