diff --git a/python/sglang/srt/managers/io_struct.py b/python/sglang/srt/managers/io_struct.py
index 340ffd545..1722f75d6 100644
--- a/python/sglang/srt/managers/io_struct.py
+++ b/python/sglang/srt/managers/io_struct.py
@@ -1378,7 +1378,12 @@ class PauseGenerationReqInput(BaseReq):
 
 @dataclass
 class ContinueGenerationReqInput(BaseReq):
-    pass
+    # Call torch.cuda.empty_cache() before un-pausing. Returns blocks
+    # cached by the PyTorch allocator (left over from transient allocs
+    # during post-weight-update processing) back to the driver before
+    # inference resumes, with no race against active streams. Set to
+    # False to skip the empty_cache call.
+    torch_empty_cache: bool = True
 
 
 @dataclass
diff --git a/python/sglang/srt/managers/scheduler.py b/python/sglang/srt/managers/scheduler.py
index 8ef38bdfa..6e662e77b 100644
--- a/python/sglang/srt/managers/scheduler.py
+++ b/python/sglang/srt/managers/scheduler.py
@@ -3646,6 +3646,15 @@ class Scheduler(
             self.chunked_req = None
 
     def continue_generation(self, recv_req: ContinueGenerationReqInput):
+        if recv_req.torch_empty_cache:
+            before_mb = torch.cuda.memory_reserved() / (1024 * 1024)
+            torch.cuda.empty_cache()
+            after_mb = torch.cuda.memory_reserved() / (1024 * 1024)
+            logger.info(
+                f"[continue_generation] torch.cuda.empty_cache() called: "
+                f"reserved {before_mb:.1f} MB -> {after_mb:.1f} MB "
+                f"(freed {before_mb - after_mb:.1f} MB)"
+            )
         self._engine_paused = False
 
     def load_lora_adapter(