[Quant] SupportsQuant handles ignored_modules

[kylesayrs]

Purpose

• Properly map ignored_modules for quantization configs belonging to nested models and models which require a hf_to_vllm_mapper
• Standardize on the QuantizationConfig.ignored_modules attribute
• The logic for remapping according to hf_to_vllm_mapper is very similar to the logic for remapping according to packed_modules_mapping , and both are specifically related to Supporting Quantization
• All model quantization-related logic is handled by the SupportsQuant mixin

Changes

• SupportsQuant now modifies the quant_config.ignored_modules attribute to account for the relevant hf_to_vllm_mapper
• Standardize bitsandbytes to use the ignored_modules attribute instead of llm_int8_skip_modules
• Standardize awq to use the ignored_modules attribute instead of modules_to_not_convert
• Add SupportsQuant to qwen2_5_vl

Testing

• The following script previously failed to account for hf_to_vllm_mapper when determining ignored modules

import vllm
llm = vllm.LLM(
    "unsloth/Qwen2.5-VL-72B-Instruct-unsloth-bnb-4bit",
    max_model_len=3200,
    quantization="bitsandbytes",
    load_format="bitsandbytes",
    trust_remote_code=True,
)

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[mergify]

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @kylesayrs.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

[kylesayrs]

Closing in favor of #20046

The above solution is a little bit better, as it can be implemented more incrementally and also is capable of updating more than just the ignored list