EdgeSense – Gemma 4 LoRA for Explainable Predictive Maintenance
This repository contains a LoRA adapter fine‑tuned on Gemma 4
for explainable industrial predictive maintenance.
Base Model
google/gemma-4-E2B-it
Training Method
LoRA fine‑tuning using Unsloth
4‑bit quantization
Predictive Maintenance Dataset
Purpose
Instead of being a classifier, the model is intended to be a reasoning model.
From raw machine telemetry, it produces interpretable diagnostic narratives and confidence-aware maintenance recommendations.
