You can deploy this model and start earning money today!

markwang941108/
SilverGuard-Adapter-V1

Name: SilverGuard-Adapter-V1
Availability: InStock

google/medgemma-1.5-4b-it

finetune

cc-by-4.0

Views

No views yet

🏥 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

python

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")