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MediPhi MedWiki by microsoft

 »  All LLMs  »  microsoft  »  MediPhi MedWiki   URL Share it on

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  Arxiv:2407.13833   Arxiv:2505.10717   Arxiv:2507.05517   Arxiv:2507.07248   Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/phi-3.5-m...   Clinical   Conversational Dataset:jpcorb20/medical wikip...   En   Endpoints compatible   Instruct   Medical   Merge   Mergekit   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/microsoft/MediPhi-MedWiki 

MediPhi MedWiki Benchmarks

LLME Score: 0.25081
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MediPhi MedWiki (microsoft/MediPhi-MedWiki)
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MediPhi MedWiki Parameters and Internals

LLM NameMediPhi MedWiki
Repository 🤗https://huggingface.co/microsoft/MediPhi-MedWiki 
Base Model(s)  microsoft/Phi-3.5-mini-instruct   microsoft/Phi-3.5-mini-instruct
Model Size3.8b
Required VRAM7.7 GB
Updated2025-07-22
Maintainermicrosoft
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2
Supported Languagesen
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

Best Alternatives to MediPhi MedWiki

Best Alternatives
Context / RAM
Downloads
Likes
Phi 4 Mini Instruct128K / 7.7 GB243417554
Phi 3 Mini 128K Instruct128K / 7.7 GB6028731655
Phi 3.5 Mini Instruct128K / 7.7 GB158455891
MediPhi Instruct128K / 7.7 GB58125
NuExtract V1.5128K / 7.7 GB10851189
Phi 4 Mini Instruct128K / 7.7 GB383917
Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB90
MediPhi Clinical128K / 7.7 GB2083
NuExtract 1.5128K / 7.7 GB4818236
ECE EIFFEL 3Bv2128K / 7.7 GB50
Note: green Score (e.g. "73.2") means that the model is better than microsoft/MediPhi-MedWiki.

Rank the MediPhi MedWiki 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 v20241124
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