🏥 SilverGuard-Adapter (V1.0 Impact Edition)
This is the QLoRA Fine-tuned Adapter for the SilverGuard Project (Google MedGemma Impact Challenge).
It is designed to work with google/medgemma-1.5-4b-it to detect medication errors in Taiwan's localized context.
🔧 Model Details
- Base Model: google/medgemma-1.5-4b-it
- Training Method: QLoRA (4-bit quantization)
- Task: Vision-Language Medication Safety Checking
- Developer: Wang, Yuan-dao
🚀 How to use
from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM
config = PeftConfig.from_pretrained("markwang941108/SilverGuard-Adapter-V1")
base_model = AutoModelForCausalLM.from_pretrained("google/medgemma-1.5-4b-it")
model = PeftModel.from_pretrained(base_model, "markwang941108/SilverGuard-Adapter-V1")
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Base model
google/medgemma-1.5-4b-it