diff --git a/python/sglang/srt/managers/controller/tp_worker.py b/python/sglang/srt/managers/controller/tp_worker.py
index f5401bc62..b07528141 100644
--- a/python/sglang/srt/managers/controller/tp_worker.py
+++ b/python/sglang/srt/managers/controller/tp_worker.py
@@ -103,6 +103,10 @@ class ModelTpServer:
             if server_args.max_running_requests is None
             else server_args.max_running_requests
         )
+        self.max_running_requests = min(
+            self.max_running_requests,
+            self.model_runner.req_to_token_pool.size - 1
+        )
         self.int_token_logit_bias = torch.tensor(
             get_int_token_logit_bias(self.tokenizer, self.model_config.vocab_size)
         )
diff --git a/python/sglang/srt/memory_pool.py b/python/sglang/srt/memory_pool.py
index a6335797c..f7cc7bec4 100644
--- a/python/sglang/srt/memory_pool.py
+++ b/python/sglang/srt/memory_pool.py
@@ -11,6 +11,7 @@ class ReqToTokenPool:
     """A memory pool that maps a request to its token locations."""
 
     def __init__(self, size: int, max_context_len: int):
+        self.size = size
         self.mem_state = torch.ones((size,), dtype=torch.bool, device="cuda")
         self.req_to_token = torch.empty(
             (size, max_context_len), dtype=torch.int32, device="cuda"