[test] add e2e test for qwen3 moe w4a16

[HDCharles]

Summary
This test would ordinarily take too long so we only quantize the first 10 layers

SUMMARY:
adding a new e2e test

blocked by vllm-project/vllm#28878 since we need to be able to run it in vllm as part of the test

TEST PLAN:
N/A

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[gemini-code-assist]

Summary of Changes

Hello @HDCharles, 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 adds a new end-to-end regression test designed to validate the W4A16 grouped quantization scheme for the Qwen3-30B-A3B model. The test setup includes a specific configuration that limits the quantization process to the initial ten layers of the model, a strategic choice made to optimize test execution time without compromising the core validation objective.

Highlights

• New End-to-End Test: Introduced a new end-to-end test for the Qwen3-30B-A3B model, specifically targeting W4A16 grouped quantization.
• Quantization Scope Optimization: The test is configured to quantize only the first 10 layers of the model to reduce execution time, as noted in the PR description.
• Configuration Files Added: Two new YAML files were added: one for the test configuration (qwen3_w4a16_grouped_quant.yaml) and another for the quantization recipe (recipe_w4a16_group_quant_first_10_layers.yaml).

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[gemini-code-assist]

Code Review

This pull request adds a new end-to-end test for Qwen3 MoE model with W4A16 quantization. The changes look good, but I've found a couple of issues. There's a typo in a directory name (WNA16 instead of W4A16) in the test configuration, which will cause the test to fail. Additionally, the regex used to ignore layers during quantization is not robust and will fail for models with 100 or more layers. I've provided suggestions to fix both issues.