[Misc] Clean up Aimv2 config registration in Ovis config

[Isotr0py]

Essential Elements of an Effective PR Description Checklist

• 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.
• The test results, such as pasting the results comparison before and after, or e2e results
• (Optional) The necessary documentation update, such as updating supported_models.md and examples for a new model.

Purpose

• On Transformers main branch, AimV2 has been supported with model conversion, so we need to remove the original AIMv2Config registration in Ovis config porting to avoid duplicate model name:

ValueError: 'aimv2' is already used by a Transformers config, pick another name.

• Clean up aimv2 model config registry to make GLM-4.5 Model Support #20736 work.

Test Plan

uv pip install git+https://github.com/huggingface/transformers
python examples/offline_inference/vision_language.py -m ovis

Test Result

• Example should still work after installing transformers main branch

(Optional) Documentation Update

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[gemini-code-assist]

Summary of Changes

Hello @Isotr0py, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request resolves a configuration conflict with the aimv2 model, which is now natively supported in the transformers library's main branch. It cleans up the Ovis configuration by removing a redundant aimv2 registration and adjusts the model configuration loading logic to correctly instantiate AIMv2Config for aimv2 models, thereby preventing duplicate name errors and ensuring proper integration with the upstream transformers library.

Highlights

• Configuration Conflict Resolution: Removed the explicit AutoConfig.register("aimv2", AIMv2Config) call in vllm/transformers_utils/configs/ovis.py. This change directly addresses a ValueError that would occur due to aimv2 being pre-registered in the upstream transformers library, ensuring compatibility when using the transformers main branch.
• Conditional AIMv2Config Instantiation: Modified the OvisConfig's __init__ method to specifically handle aimv2 backbone configurations. Instead of relying on AutoConfig.for_model (which would now pick up the upstream transformers library's aimv2 config), AIMv2Config is now directly instantiated for aimv2 models, while other model types continue to use AutoConfig.for_model for dynamic loading.

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[gemini-code-assist]

Code Review

This pull request removes the original AIMv2Config registration in Ovis config, resolving a duplicate model name issue. I've suggested a minor improvement for code consistency.

[gemini-code-assist]

Consider popping model_type from backbone_config before the conditional check for consistency. This ensures backbone_config is handled the same way in both branches and avoids passing unexpected keys to constructors.

Suggested change

	if model_type != "aimv2":
	backbone_config.pop('model_type')
	backbone_config = AutoConfig.for_model(model_type, **backbone_config)
	else:
	backbone_config = AIMv2Config(**backbone_config)
	model_type = backbone_config.pop('model_type')
	if model_type != "aimv2":
	backbone_config = AutoConfig.for_model(model_type, **backbone_config)
	else:
	backbone_config = AIMv2Config(**backbone_config)