Revert "[Bugfix] Fix Broken ModelOpt NVFP4 MoE (#31742)" Test

[MitchLewis930]

This reverts commit f6c0009.

PLEASE FILL IN THE PR DESCRIPTION HERE ENSURING ALL CHECKLIST ITEMS (AT THE BOTTOM) HAVE BEEN CONSIDERED.

Purpose

Test Plan

Test Result

---

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.
• (Optional) Release notes update. If your change is user facing, please update the release notes draft in the Google Doc.

BEFORE SUBMITTING, PLEASE READ https://docs.vllm.ai/en/latest/contributing (anything written below this line will be removed by GitHub Actions)

[coderabbitai]

Warning

Rate limit exceeded

@MitchLewis930 has exceeded the limit for the number of commits that can be reviewed per hour. Please wait 9 minutes and 7 seconds before requesting another review.

⌛ How to resolve this issue?

After the wait time has elapsed, a review can be triggered using the @coderabbitai review command as a PR comment. Alternatively, push new commits to this PR.

We recommend that you space out your commits to avoid hitting the rate limit.

🚦 How do rate limits work?

CodeRabbit enforces hourly rate limits for each developer per organization.

Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout.

Please see our FAQ for further information.

📥 Commits

Reviewing files that changed from the base of the PR and between f6c0009 and 6d9b71e.

📒 Files selected for processing (4)

• vllm/model_executor/layers/fused_moe/all2all_utils.py
• vllm/model_executor/layers/fused_moe/flashinfer_cutlass_moe.py
• vllm/model_executor/layers/quantization/fp8.py
• vllm/model_executor/layers/quantization/modelopt.py

---

_{Comment @coderabbitai help to get the list of available commands and usage tips.}