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MedGPT Gemma2 9B BA V.1 by valeriojob

 »  All LLMs  »  valeriojob  »  MedGPT Gemma2 9B BA V.1   URL Share it on

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  Autotrain compatible Base model:finetune:unsloth/ge...   Base model:unsloth/gemma-2-9b   En   Endpoints compatible   Gemma2   Llama   Lora   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/valeriojob/MedGPT-Gemma2-9B-BA-v.1 

MedGPT Gemma2 9B BA V.1 Benchmarks

LLME Score: 0.16644
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MedGPT Gemma2 9B BA V.1 (valeriojob/MedGPT-Gemma2-9B-BA-v.1)
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MedGPT Gemma2 9B BA V.1 Parameters and Internals

Model Type 
text-generation-inference, transformers
Use Cases 
Areas:
Medical assistance, Administrative tasks
Applications:
Research, Prototyping
Primary Use Cases:
Supplementary assistance for General Practitioners (GPs)
Limitations:
Not suitable for production use
Considerations:
Model created as an initial prototype in the context of a bachelor thesis.
Supported Languages 
en (English)
Training Details 
Data Sources:
datasets/valeriojob/BA-v.1
Data Volume:
60 examples
Methodology:
Fine-tuning using Unsloth and Huggingface's TRL library
Model Architecture:
Fine-tuned model from Gemma-2-9B
LLM NameMedGPT Gemma2 9B BA V.1
Repository 🤗https://huggingface.co/valeriojob/MedGPT-Gemma2-9B-BA-v.1 
Base Model(s)  Gemma 2 9B   unsloth/gemma-2-9b
Model Size9b
Required VRAM18.6 GB
Updated2025-09-23
Maintainervaleriojob
Model Files  0.4 GB   4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   3.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|v_proj|o_proj|q_proj|up_proj|down_proj|k_proj
LoRA Alpha16
LoRA Dropout0
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than valeriojob/MedGPT-Gemma2-9B-BA-v.1.

Rank the MedGPT Gemma2 9B BA V.1 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 v20241124
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