Jimmy Med by dafei1288

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  Arxiv:2304.06975   Arxiv:2309.04175   Arxiv:2309.04198   Autotrain compatible   Bloom   Endpoints compatible   Pytorch   Region:us   Safetensors   Zh
Model Card on HF ๐Ÿค—: https://huggingface.co/dafei1288/Jimmy_Med 

Jimmy Med Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jimmy Med (dafei1288/Jimmy_Med)

Jimmy Med Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Medical question-answering
Applications:
Medical domain applications
Primary Use Cases:
Medical question answering
Limitations:
Model outputs cannot be used as real medical diagnostic basis.
Additional Notes 
The model's content and information accuracy cannot be guaranteed, and the project disclaims legal responsibility for any related output losses.
Supported Languages 
Chinese (High proficiency)
Training Details 
Data Sources:
ๆœฌ่‰[ๅŽŸๅ๏ผšๅŽ้ฉผ(HuaTuo)]
Methodology:
Instruction fine-tuning
Input Output 
Input Format:
Text prompt
Accepted Modalities:
text
Output Format:
Generated text
LLM NameJimmy Med
Repository ๐Ÿค—https://huggingface.co/dafei1288/Jimmy_Med 
Model Size800m
Required VRAM1.5 GB
Updated2025-02-22
Maintainerdafei1288
Model Typebloom
Model Files  1.5 GB   1.5 GB
Supported Languageszh
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Transformers Version4.39.3
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size46145
Torch Data Typebfloat16

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Rank the Jimmy Med 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