diff --git a/python/sglang/multimodal_gen/runtime/loader/weight_utils.py b/python/sglang/multimodal_gen/runtime/loader/weight_utils.py
index d3f2ef47e..ce0e6ea5e 100644
--- a/python/sglang/multimodal_gen/runtime/loader/weight_utils.py
+++ b/python/sglang/multimodal_gen/runtime/loader/weight_utils.py
@@ -32,6 +32,43 @@ from sglang.multimodal_gen.runtime.utils.logging_utils import init_logger
 
 logger = init_logger(__name__)
 
+
+def _disable_runai_streamer_rank_discovery_collective() -> None:
+    """RunAI Model Streamer's ``find_local_ranks()`` fires a full-world
+    collective on the first ``stream_files()`` of every streamer instance even
+    when the caller passes ``is_distributed=False`` — it only populates an env
+    var for the library's distributed-streaming path, which this loader never
+    uses (each rank loads its own full copy). Ranks reach it with divergent
+    timing, so it can fire out of lockstep and hang
+    (https://github.com/run-ai/runai-model-streamer/issues/84).
+
+    Patch it to the single-process early return it already has; the only
+    behavior lost is the collective this loader never wanted.
+    """
+    try:
+        from runai_model_streamer.distributed_streamer.distributed_streamer import (
+            _distributedStreamerParams,
+        )
+    except ImportError:
+        return
+    if not hasattr(_distributedStreamerParams, "find_local_ranks"):
+        logger.warning(
+            "runai_model_streamer find_local_ranks not found; skipping the "
+            "rank-discovery-collective workaround (multi-rank loads may hang, "
+            "see run-ai/runai-model-streamer#84)."
+        )
+        return
+
+    def _find_local_ranks_no_collective(self):
+        rank = torch.distributed.get_rank() if torch.distributed.is_initialized() else 0
+        return 1, rank, [[rank]]
+
+    _distributedStreamerParams.find_local_ranks = _find_local_ranks_no_collective
+
+
+if HAS_RUNAI_MODEL_STREAMER:
+    _disable_runai_streamer_rank_discovery_collective()
+
 # use system-level temp directory for file locks, so that multiple users
 # can share the same lock without error.
 # lock files in the temp directory will be automatically deleted when the
diff --git a/python/sglang/multimodal_gen/test/unit/test_weight_utils.py b/python/sglang/multimodal_gen/test/unit/test_weight_utils.py
new file mode 100644
index 000000000..066166046
--- /dev/null
+++ b/python/sglang/multimodal_gen/test/unit/test_weight_utils.py
@@ -0,0 +1,87 @@
+# SPDX-License-Identifier: Apache-2.0
+"""The patched find_local_ranks() must never touch torch.distributed."""
+
+import unittest
+from unittest.mock import patch
+
+from sglang.multimodal_gen.runtime.loader.weight_utils import (
+    _disable_runai_streamer_rank_discovery_collective,
+)
+
+_DIST_STREAMER_MOD = "runai_model_streamer.distributed_streamer.distributed_streamer"
+
+
+class TestDisableRunaiStreamerRankDiscoveryCollective(unittest.TestCase):
+    def test_never_touches_torch_distributed_even_when_initialized(self):
+        from runai_model_streamer.distributed_streamer.distributed_streamer import (
+            _distributedStreamerParams,
+        )
+
+        _disable_runai_streamer_rank_discovery_collective()
+
+        with (
+            patch(f"{_DIST_STREAMER_MOD}.dist.is_initialized", return_value=True),
+            patch(f"{_DIST_STREAMER_MOD}.dist.get_world_size", return_value=2),
+            patch(f"{_DIST_STREAMER_MOD}.dist.get_rank", return_value=1),
+            patch(f"{_DIST_STREAMER_MOD}.dist.new_group") as mock_new_group,
+            patch(f"{_DIST_STREAMER_MOD}.dist.all_gather_object") as mock_all_gather,
+            patch(f"{_DIST_STREAMER_MOD}.dist.destroy_process_group") as mock_destroy,
+        ):
+            result = _distributedStreamerParams().find_local_ranks()
+
+        mock_new_group.assert_not_called()
+        mock_all_gather.assert_not_called()
+        mock_destroy.assert_not_called()
+        # rank is still reported correctly -- only the collective is gone
+        self.assertEqual(result, (1, 1, [[1]]))
+
+    def test_reports_rank_zero_when_not_distributed(self):
+        from runai_model_streamer.distributed_streamer.distributed_streamer import (
+            _distributedStreamerParams,
+        )
+
+        _disable_runai_streamer_rank_discovery_collective()
+
+        with patch(f"{_DIST_STREAMER_MOD}.dist.is_initialized", return_value=False):
+            result = _distributedStreamerParams().find_local_ranks()
+
+        self.assertEqual(result, (1, 0, [[0]]))
+
+    def test_idempotent_across_repeated_calls(self):
+        # Import-time application plus any re-import/re-entry must not stack
+        # wrappers or otherwise change behavior.
+        _disable_runai_streamer_rank_discovery_collective()
+        _disable_runai_streamer_rank_discovery_collective()
+
+        from runai_model_streamer.distributed_streamer.distributed_streamer import (
+            _distributedStreamerParams,
+        )
+
+        with (
+            patch(f"{_DIST_STREAMER_MOD}.dist.is_initialized", return_value=True),
+            patch(f"{_DIST_STREAMER_MOD}.dist.get_world_size", return_value=4),
+            patch(f"{_DIST_STREAMER_MOD}.dist.get_rank", return_value=3),
+            patch(f"{_DIST_STREAMER_MOD}.dist.new_group") as mock_new_group,
+        ):
+            result = _distributedStreamerParams().find_local_ranks()
+
+        mock_new_group.assert_not_called()
+        self.assertEqual(result, (1, 3, [[3]]))
+
+    def test_noop_when_library_missing_attribute(self):
+        # Defensive path: if a future runai_model_streamer release renames or
+        # removes find_local_ranks, patching must skip (with a warning) rather
+        # than crash import.
+        import sglang.multimodal_gen.runtime.loader.weight_utils as wu
+
+        class _StubParams:
+            pass
+
+        with patch(f"{_DIST_STREAMER_MOD}._distributedStreamerParams", _StubParams):
+            wu._disable_runai_streamer_rank_discovery_collective()  # must not raise
+
+        self.assertFalse(hasattr(_StubParams, "find_local_ranks"))
+
+
+if __name__ == "__main__":
+    unittest.main()