diff --git a/vllm/model_executor/sampling_metadata.py b/vllm/model_executor/sampling_metadata.py
index 9d0331781c7a8..015e85b4ca81d 100644
--- a/vllm/model_executor/sampling_metadata.py
+++ b/vllm/model_executor/sampling_metadata.py
@@ -7,11 +7,14 @@
 
 from vllm.sampling_params import SamplingParams, SamplingType
 from vllm.sequence import SequenceData, SequenceGroupMetadata
+from vllm.triton_utils.sample import get_num_triton_sampler_splits
 from vllm.utils import (async_tensor_h2d, is_pin_memory_available,
                         make_tensor_with_pad, maybe_expand_dim)
 
 _SAMPLING_EPS = 1e-5
 _SEED_0_REPLACEMENT = 3403598558
+# Some triton sampler related code is guarded before it is ready.
+_USE_TRITON_SAMPLER = False
 
 
 @dataclass
@@ -350,9 +353,12 @@ def from_sampling_metadata(
         do_top_p_top_k = False
         do_min_p = False
 
-        # # We need one base seed per Triton slice.
-        # seeds_to_generate = (extra_seeds_to_generate +
-        #                      get_num_triton_sampler_splits(vocab_size))
+        if _USE_TRITON_SAMPLER:
+            prompt_best_of: List[int] = []
+
+            # We need one base seed per Triton slice.
+            seeds_to_generate = (extra_seeds_to_generate +
+                                 get_num_triton_sampler_splits(vocab_size))
 
         assert sampling_metadata.seq_groups is not None
         for seq_group in sampling_metadata.seq_groups:
@@ -409,26 +415,27 @@ def from_sampling_metadata(
                 frequency_penalties += [f] * len(seq_ids)
                 repetition_penalties += [r] * len(seq_ids)
 
-            # The following code is for a Triton-based sampler
-            # that is not enabled.
-
-            # if is_prompt:
-            #     prompt_best_of.append(sampling_params.best_of)
-            #     query_len = seq_group.query_len
-            #     assert query_len is not None
-
-            # for seq_id in seq_ids:
-            #     seq_data = seq_group.seq_data[seq_id]
-            #     extra_entropy = extra_entropy or ()
-            #     seq_seeds = cls._get_sequence_seeds(
-            #         seed,
-            #         seq_data.get_len(),
-            #         *extra_entropy,
-            #         seq_id,
-            #         seeds_to_generate=seeds_to_generate,
-            #         is_greedy=is_greedy)
-            #     sampling_seeds.append(seq_seeds)
-            # sample_indices.extend(seq_group.sample_indices)
+            if _USE_TRITON_SAMPLER:
+                if is_prompt:
+                    prompt_best_of.append(sampling_params.best_of)
+                    query_len = seq_group.query_len
+                    assert query_len is not None
+
+                seed = sampling_params.seed
+                is_greedy = sampling_params.sampling_type == SamplingType.GREEDY
+
+                for seq_id in seq_ids:
+                    seq_data = seq_group.seq_data[seq_id]
+                    extra_entropy = extra_entropy or ()
+                    seq_seeds = cls._get_sequence_seeds(
+                        seed,
+                        seq_data.get_len(),
+                        *extra_entropy,
+                        seq_id,
+                        seeds_to_generate=seeds_to_generate,
+                        is_greedy=is_greedy)
+                    sampling_seeds.append(seq_seeds)
+                sample_indices.extend(seq_group.sample_indices)
 
         if do_penalties:
             for seq_group in sampling_metadata.seq_groups: