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MedChatZH by tyang816

 »  All LLMs  »  tyang816  »  MedChatZH   URL Share it on

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  Autotrain compatible   Baichuan   Custom code   Dataset:tyang816/medchatzh   Endpoints compatible   Pytorch   Region:us   Safetensors   Zh
Model Card on HF 🤗: https://huggingface.co/tyang816/MedChatZH 

MedChatZH Benchmarks

LLME Score: 0.12161
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MedChatZH (tyang816/MedChatZH)

MedChatZH Parameters and Internals

Model Type 
text generation, medical dialogue
Additional Notes 
The project does not represent the position, interests, or ideas of any party, and it is not responsible for any damage or dispute arising from the use of the project model or dataset.
Supported Languages 
zh (high)
Training Details 
Data Sources:
tyang816/MedChatZH, traditional Chinese medicine books, medical dialogue instructions
Methodology:
fine-tuning
LLM NameMedChatZH
Repository 🤗https://huggingface.co/tyang816/MedChatZH 
Model Size7b
Required VRAM14 GB
Updated2025-03-25
Maintainertyang816
Model Typebaichuan
Model Files  14.0 GB   14.0 GB
Supported Languageszh
Model ArchitectureBaiChuanForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.30.2
Tokenizer ClassBaiChuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than tyang816/MedChatZH.

Rank the MedChatZH 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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