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BioGPT Large by microsoft

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

BioGPT Large Benchmarks

LLME Score: 0.11635
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 🤗https://huggingface.co/microsoft/BioGPT-Large 
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 Size57717
Torch Data Typefloat32

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Molxpt2K / 1.4 GB1331
BioGPT Large PubMedQA2K / 6.3 GB1129107
...GPT Large Finetuned Chatdoctor2K / 6.3 GB51
...d Pubmed Articles Biogpt Large2K / 6.3 GB81
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... Biogpt Noised Pubmed Match V11K / 1.4 GB1420
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Ec Biogpt Noised Pubmed V41K / 1.4 GB190
Ec Biogpt Noised Pubmed V31K / 1.4 GB70
Note: green Score (e.g. "73.2") means that the model is better than microsoft/BioGPT-Large.

Rank the BioGPT Large Capabilities

🆘 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! 🌟

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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