Taiwan Inquiry 7B V1.0 by ChenWeiLi

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  Autotrain compatible   Conversational   Doctor consultation   Endpoints compatible   Finetuned   Llama   Region:us   Safetensors   Sharded   Taiwan   Tensorflow   Zh

Taiwan Inquiry 7B V1.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Taiwan Inquiry 7B V1.0 (ChenWeiLi/Taiwan-inquiry_7B_v1.0)

Taiwan Inquiry 7B V1.0 Parameters and Internals

Model Type 
GPT-like, text generation
Use Cases 
Applications:
clinical skills assessment
Primary Use Cases:
Doctor consultation scenarios
Additional Notes 
The model was fine-tuned to enhance performance in clinical skills assessment scenarios in a medical context.
Supported Languages 
zh-tw (Traditional Chinese)
Training Details 
Data Sources:
614 authentic dialogues from the National Cheng Kung University Hospital, 101 synthetic dialogues
Methodology:
Fine-tuning using a dataset with authentic and synthetic dialogues
LLM NameTaiwan Inquiry 7B V1.0
Repository ๐Ÿค—https://huggingface.co/ChenWeiLi/Taiwan-inquiry_7B_v1.0 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerChenWeiLi
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languageszh
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ChenWeiLi/Taiwan-inquiry_7B_v1.0.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227