Biogpt by shrijayan

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  Autotrain compatible   Biogpt   Dataset:pubmed qa   En   Endpoints compatible   Medical   Pytorch   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/shrijayan/biogpt 

Biogpt Benchmarks

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

Biogpt 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
Repository ๐Ÿค—https://huggingface.co/shrijayan/biogpt 
Model Size1.6b
Required VRAM6.3 GB
Updated2025-02-22
Maintainershrijayan
Model Typebiogpt
Model Files  6.3 GB   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

Best Alternatives to Biogpt

Best Alternatives
Context / RAM
Downloads
Likes
ABR Finetuned BioGPT2K / 6.3 GB1210
...GPT Large Finetuned Chatdoctor2K / 6.3 GB4636
Note: green Score (e.g. "73.2") means that the model is better than shrijayan/biogpt.

Rank the Biogpt Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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