diff --git a/serve/mlc_serve/engine/staging_engine.py b/serve/mlc_serve/engine/staging_engine.py
index 52eafd9831..a457ff8385 100644
--- a/serve/mlc_serve/engine/staging_engine.py
+++ b/serve/mlc_serve/engine/staging_engine.py
@@ -229,7 +229,7 @@ def step(self) -> InferenceStepResult:
 
                     gen_seq = state.generation_sequences[seq_output.id.sequence_index]
                     new_token_ids = seq_output.new_tokens
-                    LOG.debug(f"New token ids: {new_token_ids}")
+                    # LOG.debug(f"New token ids: {new_token_ids}")
                     if new_token_ids:
                         delta, logprob_info = prepare_output(
                             gen_seq,
diff --git a/serve/mlc_serve/model/tvm_model.py b/serve/mlc_serve/model/tvm_model.py
index 4b0d9ff228..df24309f06 100644
--- a/serve/mlc_serve/model/tvm_model.py
+++ b/serve/mlc_serve/model/tvm_model.py
@@ -285,18 +285,6 @@ def generate_multi_query(
             # Use `vocab_size` as a padding
             past_decode_tokens.append([self.vocab_size, *request.queries.token_ids])
 
-        # Prepare sampling tensors in another stream to overlap
-        # CPU<->GPU data transfer with GPU computation in forward pass.
-        with torch.cuda.stream(self._copy_stream):
-            sampling_state = SamplingState.from_sampling_params(
-                sampling_params,
-                past_decode_tokens,
-                prompt_masks,
-                self.torch_dtype,
-                self.torch_dev,
-                self.vocab_size,
-            )
-
         (
             input_ids,
             positions,
@@ -335,6 +323,18 @@ def generate_multi_query(
             self.params,
         )
 
+        # Prepare sampling tensors in another stream to overlap
+        # CPU<->GPU data transfer with GPU computation in forward pass.
+        with torch.cuda.stream(self._copy_stream):
+            sampling_state = SamplingState.from_sampling_params(
+                sampling_params,
+                past_decode_tokens,
+                prompt_masks,
+                self.torch_dtype,
+                self.torch_dev,
+                self.vocab_size,
+            )
+
         if self.disco_session:
             logits, _ = out.debug_get_from_remote(0)
         else:
@@ -415,18 +415,6 @@ def generate(
             all_token_ids.append(request.token_ids)
             sampling_params.append(request.sampling_params)
 
-        # Prepare sampling tensors in another stream to overlap
-        # CPU<->GPU data transfer with GPU computation in forward pass.
-        with torch.cuda.stream(self._copy_stream):
-            sampling_state = SamplingState.from_sampling_params(
-                sampling_params,
-                past_decode_tokens,
-                prompt_masks,
-                self.torch_dtype,
-                self.torch_dev,
-                self.vocab_size,
-            )
-
         (
             input_ids,
             positions,
@@ -508,6 +496,18 @@ def generate(
                     self.params,
                 )
 
+        # Prepare sampling tensors in another stream to overlap
+        # CPU<->GPU data transfer with GPU computation in forward pass.
+        with torch.cuda.stream(self._copy_stream):
+            sampling_state = SamplingState.from_sampling_params(
+                sampling_params,
+                past_decode_tokens,
+                prompt_masks,
+                self.torch_dtype,
+                self.torch_dev,
+                self.vocab_size,
+            )
+
         if self.disco_session:
             logits, _ = out.debug_get_from_remote(0)
         else: