Add NVFP4 + QAD to the Nemotron-3-Nano-30B-A3B tutorial

[kevalmorabia97]

What does this PR do?

Type of change: documentation

Follow-up to #1601 (now merged), which migrated the Nemotron-3-Nano-30B-A3B-BF16 tutorial to the Megatron-Bridge PTQ flow. This PR stacks NVFP4 (W4A4) quantization + Quantization Aware Distillation (QAD) on top of the pruned + distilled checkpoint.

• Adds an "NVFP4 + Quantization Aware Distillation (QAD)" section to the tutorial: NVFP4 PTQ (quantize.py) → QAD from the BF16 teacher (distill.py --student_megatron_path) → export.py, to recover the NVFP4 accuracy drop.
• Adds NVFP4 / NVFP4+QAD rows to the accuracy table and an NVFP4 row to the vLLM throughput table.
• Adds the per-format NVFP4 vLLM benchmark command and NVFP4 deployment notes (FlashInfer FP4 MoE backend, Blackwell GPU) to the tutorial and nemo_evaluator.yaml.
• Reframes the tutorial intro / CHANGELOG / pruning READMEs as NVFP4 + QAD.

Draft: the NVFP4 / NVFP4+QAD accuracy and NVFP4 vLLM throughput numbers are still being collected — several cells are ? placeholders and will be filled in before this leaves draft.

The QAD command uses examples/megatron_bridge/distill.py --student_megatron_path (QAD support); the other commands use quantize.py / export.py, which are already on main via #1601.

Testing

Docs-only change; pre-commit hooks (markdownlint, RST checks) pass. Tutorial relative links resolve.

Before your PR is "Ready for review"

• Is this change backward compatible?: N/A (docs only)
• If you copied code from any other sources or added a new PIP dependency, did you follow guidance in CONTRIBUTING.md: N/A
• Did you write any new necessary tests?: N/A (docs only)
• Did you update Changelog?: ✅
• Did you get Claude approval on this PR?: ❌ (will run /claude review)

Additional Information

Builds on #1601. Placeholder ? cells in the Results tables (NVFP4 / NVFP4+QAD accuracy, NVFP4 vLLM throughput) will be filled in with experiment results before this leaves draft.

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 77.31%. Comparing base (bde162a) to head (c8a2de4).

Additional details and impacted files

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##             main    #1660   +/-   ##
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  Coverage   77.31%   77.31%           
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  Files         509      509           
  Lines       55912    55912           
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  Hits        43226    43226           
  Misses      12686    12686           

Flag	Coverage Δ
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