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Medinote 7B by AGBonnet

 »  All LLMs  »  AGBonnet  »  Medinote 7B   URL Share it on

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  Arxiv:2311.16079   Autotrain compatible Base model:epfl-llm/meditron-7... Base model:finetune:epfl-llm/m... Dataset:agbonnet/augmented-cli...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AGBonnet/medinote-7b 

Medinote 7B Benchmarks

LLME Score: 0.13529
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Medinote 7B (AGBonnet/medinote-7b)
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Medinote 7B Parameters and Internals

Model Type 
Causal decoder-only transformer language model
Use Cases 
Areas:
Research, Experimental usage
Applications:
Clinical note generation
Primary Use Cases:
Generating clinical notes from doctor-patient conversations
Limitations:
Not robust enough for real clinical settings, Not recommended for production environments
Considerations:
Not suitable for production or work impacting people
Supported Languages 
English (only)
Training Details 
Data Sources:
AGBonnet/augmented-clinical-notes
Methodology:
Fine-tuned from Meditron foundation model
Context Length:
2000
Model Architecture:
Causal decoder-only transformer
Input Output 
Input Format:
Patient-doctor conversation transcripts (text)
Accepted Modalities:
text
Output Format:
Clinical notes (text)
LLM NameMedinote 7B
Repository 🤗https://huggingface.co/AGBonnet/medinote-7b 
Base Model(s)  Meditron 7B   epfl-llm/meditron-7b
Model Size7b
Required VRAM27 GB
Updated2025-09-20
MaintainerAGBonnet
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Padding Token<PAD>
Vocabulary Size32019
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than AGBonnet/medinote-7b.

Rank the Medinote 7B 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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Release v20241124
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