Fix: Add **kwargs to QEffLlama4VisionModel.forward() for transformers v4.57.3 compatibility

[sudheepm-wq]

Problem

After the transformers v4.57.3 rebase (commit 7acb860), the following error occurs:
TypeError: QEffLlama4VisionModel.forward() got an unexpected keyword argument 'vision_feature_layer'

Root Cause Analysis

1. In transformers v4.57.3, Llama4ForConditionalGeneration.get_image_features()
   now passes additional parameters (vision_feature_layer and vision_feature_select_strategy)
   to the vision model's forward method via **kwargs.

2. The call chain:

   • QEffLlama4EncoderWrapper.forward() calls self.model.get_image_features()
   • get_image_features() (from transformers library) calls self.vision_model(**kwargs)
   • QEffLlama4VisionModel.forward() was not accepting **kwargs

3. Since QEffLlama4VisionModel overrides the forward() method but didn't accept **kwargs,
   it raised a TypeError when these unexpected arguments were passed.

Solution

Added **kwargs parameter to QEffLlama4VisionModel.forward() method signature.
This allows the method to accept vision_feature_layer and vision_feature_select_strategy
parameters from the parent class's get_image_features() method, even though they're
not used in the QEff implementation.

Impact

• Backward compatible change
• Fixes ONNX export failures for Llama4 vision models
• Maintains compatibility with transformers v4.57.3 API

Tested with: examples/image_text_to_text/models/llama4/single_image.py

[vbaddi]

@quic-rishinr Check for CI and merge pls, thanks :)

[sudheepm-wq]

@quic-dhirajku any update on the review of this patch?