Description

Just extend the model check, and the logic inside the moe_kernel_tuner.py, so that one can tune multimodel MoE (eg. model that contains a vision tower and a text model nested, as qwen3.5-32b).
And make the block quant shape (ie the size of the block on which the scales are computed for re-normalization before quantization) usable from the user.

Related Issue

Fixes #(issue number)

Type of Change

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Refactor (no functional change)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• Documentation update

Testing

• I added or updated tests covering my changes
• Existing tests pass locally (uv run pytest -m "cpu and not slow")

For full setup and testing instructions, see the Contributing Guide.

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my code, especially for agent-assisted changes
• I updated the documentation where necessary