diff --git a/tensorrt_llm/_torch/pyexecutor/model_engine.py b/tensorrt_llm/_torch/pyexecutor/model_engine.py
index f186da6cd8..2033030ad0 100644
--- a/tensorrt_llm/_torch/pyexecutor/model_engine.py
+++ b/tensorrt_llm/_torch/pyexecutor/model_engine.py
@@ -48,8 +48,7 @@ from ..speculative import (SpecMetadata, get_num_extra_kv_tokens,
                            get_spec_metadata,
                            update_spec_config_from_model_config)
 from ..speculative.drafting_loops import BaseDraftingLoopWrapper
-from ..speculative.eagle3 import (Eagle3OneModelSpecMetadata,
-                                  Eagle3ResourceManager, Eagle3SpecMetadata)
+from ..speculative.eagle3 import Eagle3ResourceManager, Eagle3SpecMetadata
 from ..speculative.mtp import SampleStateTensorsMTP
 from ..speculative.utils import SpecDecodingTensor
 from ..utils import (get_model_extra_attrs,
@@ -2684,9 +2683,9 @@ class PyTorchModelEngine(ModelEngine):
                 num_accepted_draft_tokens)]
             if isinstance(spec_metadata, Eagle3SpecMetadata):
                 spec_metadata.request_accepted_path = request_accepted_path
-            if isinstance(spec_metadata, Eagle3OneModelSpecMetadata):
-                spec_metadata.populate_sampling_params_for_one_model(
-                    scheduled_requests.all_requests())
+            # No-op for non 1-model
+            spec_metadata.populate_sampling_params_for_one_model(
+                scheduled_requests.all_requests())
             spec_metadata.prepare()
             inputs['spec_metadata'] = spec_metadata
 
diff --git a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
index bd1857dda2..22a5f1c8b6 100644
--- a/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
+++ b/tensorrt_llm/_torch/pyexecutor/py_executor_creator.py
@@ -281,16 +281,12 @@ def create_py_executor(
             )
             llm_args.disable_overlap_scheduler = True
 
-    if spec_config is not None and spec_config.spec_dec_mode.use_one_engine():
-        if not spec_config.allow_advanced_sampling:
-            logger.warning(
-                f"Falling back to greedy decoding for {spec_config.decoding_type}. If you "
-                "want to use non-greedy sampling, please set allow_advanced_sampling=True."
-            )
-        elif spec_config.spec_dec_mode.is_mtp_one_model():
-            logger.warning(
-                "Advanced sampling is not supported for MTP yet - this will be added soon."
-            )
+    if spec_config is not None and spec_config.spec_dec_mode.use_one_engine(
+    ) and not spec_config.allow_advanced_sampling:
+        logger.warning(
+            f"Falling back to greedy decoding for {spec_config.decoding_type}. If you "
+            "want to use non-greedy sampling, please set allow_advanced_sampling=True."
+        )
 
     if mm_encoder_only:
         llm_args.mm_encoder_only = True
diff --git a/tensorrt_llm/_torch/speculative/utils.py b/tensorrt_llm/_torch/speculative/utils.py
index 6a22ad19bd..1eb036de99 100644
--- a/tensorrt_llm/_torch/speculative/utils.py
+++ b/tensorrt_llm/_torch/speculative/utils.py
@@ -31,6 +31,7 @@ def get_spec_metadata(spec_config,
             mtp_num_modules=spec_config.num_nextn_predict_layers,
             max_num_requests=max_num_requests,
             mtp_hidden_states_manager=spec_resource_manager,
+            allow_advanced_sampling=spec_config.allow_advanced_sampling,
         )
     if spec_config.spec_dec_mode.is_mtp_eagle():
         return Eagle3SpecMetadata(