Fix EagleMistralLarge3Model initialization

[juliendenize]

Purpose

This PR fixes initialization of EagleMistralLarge3Model due to #36361 that added aux_hidden_state_layers init requirement.

Test Plan

ran an inference

Test Result

on main it raises error, now it works :)

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• The purpose of the PR, such as "Fix some issue (link existing issues this PR will resolve)".
• The test plan, such as providing test command.
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[gemini-code-assist]

Code Review

This pull request correctly fixes an initialization error in EagleMistralLarge3Model by adding the missing aux_hidden_state_layers attribute. The error arose because the model's __init__ method does not call super().__init__(), making it brittle to changes in its base class, DeepseekV2Model. My review includes a suggestion to add a TODO comment to track this structural issue and encourage a future refactoring to improve maintainability.

[gemini-code-assist]

While this change correctly initializes aux_hidden_state_layers, it highlights a broader maintainability issue. The __init__ method of EagleMistralLarge3Model does not call super().__init__() from its base class DeepseekV2Model, but instead re-implements much of its logic. This is why aux_hidden_state_layers had to be added here manually after it was added to the base class.

To prevent similar issues in the future and to track this technical debt, I suggest adding a TODO comment. This will make it clear that a refactoring is needed to make the class more robust against changes in its parent.

        # TODO: Refactor to call super().__init__ from DeepseekV2Model
        # to avoid missing future attributes.
        self.aux_hidden_state_layers: tuple[int, ...] = ()