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google/gemma-4-E4B-it.1from peft import PeftModel
2from transformers import AutoModelForCausalLM
3
4base = AutoModelForCausalLM.from_pretrained("google/gemma-4-E4B-it")
5model = PeftModel.from_pretrained(base, "fengchen31/wardrobe-os-stylist-default")
6
7# IMPORTANT: use_cache=False required for Gemma 4 + PEFT 0.18 multimodal adapters.
8# See docs/superpowers/specs/2026-04-09-sprint16-peft-smoke-incident.md
9output = model.generate(**inputs, use_cache=False)users.allow_public_training opt-in for the default adapter; owner's own
signals for per-user adapters).