fix: patch PEFT for Gemma4ClippableLinear in loader checkpoint path

The same Gemma4ClippableLinear monkey-patch that exists in vision.py
for training is needed in loader.py for loading existing checkpoints
(used by export and inference).

Gemma4ClippableLinear wraps nn.Linear but does not subclass it, so
PEFT's LoRA injection fails with "Target module not supported".
The patch redirects PEFT to target the inner .linear child instead.

Applied only to the vision model PeftModel.from_pretrained path.
Temporary fix until PEFT adds native support (peft#3129).

unsloth/models/loader.py

@@ -1584,7 +1584,10 @@ class FastModel(FastBaseModel):
 
             if _clippable_linear_cls is not None:
                 from peft.tuners.lora.model import LoraModel as _LoraModel
+<<<<<<< HEAD
 
+=======
+>>>>>>> 35ebf398 (fix: patch PEFT for Gemma4ClippableLinear in loader checkpoint path)
                 _original_car = _LoraModel._create_and_replace
 
                 def _patched_car(