--- a/vllm/modelopt.py
+++ b/vllm/modelopt.py
@@ -2356,6 +2356,22 @@
     def _quantized_layer_prefix_candidates(prefix: str) -> tuple[str, ...]:
         candidates = [prefix]
 
+        # MTP draft naming (see nvfp4 stand-up notes): strip mtp_block,
+        # then re-root over every naming the shared quantized_layers dict
+        # can be in - checkpoint form (model.language_model.*) or the
+        # target-tree form its mapper rewrites to (language_model.model.*).
+        _bases = {prefix, prefix.replace(".mtp_block.", ".")}
+        for _b in list(_bases):
+            for _root in ("model.", "model.language_model.", "language_model.model."):
+                if _b.startswith(_root):
+                    _bases.add(_b[len(_root) :])
+        for _b in list(_bases):
+            if _b.startswith("layers."):
+                _bases.add("model." + _b)
+                _bases.add("model.language_model." + _b)
+                _bases.add("language_model.model." + _b)
+        candidates.extend(_bases - {prefix})
+
         if prefix.endswith(".lm_head"):
             candidates.append("lm_head")
 
@@ -2387,6 +2403,13 @@
             return None
 
         quant_algo = self._resolve_quant_algo(prefix)
+        import sys as _sys
+        print(
+            "[quantprobe] layer=%s prefix=%s algo=%s"
+            % (type(layer).__name__, prefix, quant_algo),
+            file=_sys.stderr,
+            flush=True,
+        )
 
         if isinstance(layer, (LinearBase, ParallelLMHead)):
             if quant_algo == "FP8":