TRF055

config on a PreTrainedModel subclass must be an annotation (config: SomeConfig), not an assignment (config = SomeConfig).

Default	Enabled
Scope	All models
Source	mlinter/trf055.py
Show in terminal	mlinter --rule TRF055

What it does

Flags config = SomeConfig as a class attribute on PreTrainedModel subclasses in modeling_*.py and modular_*.py.

Why is this bad?

PreTrainedModel.__init_subclass__ derives config_class from a config **annotation**, via inspect.get_annotations(cls). An assignment creates a stray class attribute that call does not report, so the subclass silently keeps the parent’s config_class. A bare annotation has no runtime value, creates no attribute, and is picked up correctly.

Example

 class Gemma4VisionModel(Gemma4PreTrainedModel):
     """The Gemma 4 Vision Encoder."""
-    config = Gemma4VisionConfig
+    config: Gemma4VisionConfig

Suppressing this rule

Add a # trf-ignore: TRF055 comment on the flagged line or the line directly above it. See Suppressing rules for whole-file directives and when a suppression is the wrong answer.