diff --git a/custom_ops/gpu_ops/cpp_extensions.cc b/custom_ops/gpu_ops/cpp_extensions.cc
index d29e55286..fc15900de 100644
--- a/custom_ops/gpu_ops/cpp_extensions.cc
+++ b/custom_ops/gpu_ops/cpp_extensions.cc
@@ -1029,7 +1029,6 @@ void SpeculateLimitThinkingContentLengthV1(
     const paddle::Tensor& step_idx,
     const paddle::Tensor& limit_think_status,
     const paddle::Tensor& accept_num,
-    const paddle::Tensor& seq_lens_decoder,
     const paddle::Tensor& stop_flags,
     const paddle::Tensor& eos_token_ids,
     const int64_t think_end_id);
@@ -1040,7 +1039,6 @@ void SpeculateLimitThinkingContentLengthV2(
     const paddle::Tensor& step_idx,
     const paddle::Tensor& limit_think_status,
     const paddle::Tensor& accept_num,
-    const paddle::Tensor& seq_lens_decoder,
     const paddle::Tensor& stop_flags,
     const int64_t think_end_id,
     const int64_t line_break_id);
diff --git a/custom_ops/gpu_ops/speculate_decoding/speculate_limit_thinking_content_length_v1.cu b/custom_ops/gpu_ops/speculate_decoding/speculate_limit_thinking_content_length_v1.cu
index a18f3b2bc..ffd3739c6 100644
--- a/custom_ops/gpu_ops/speculate_decoding/speculate_limit_thinking_content_length_v1.cu
+++ b/custom_ops/gpu_ops/speculate_decoding/speculate_limit_thinking_content_length_v1.cu
@@ -22,7 +22,6 @@ __global__ void speculate_limit_thinking_content_length_kernel_v1(
     const int64_t* eos_token_ids,
     int* limit_think_status,
     int* accept_num,
-    int* seq_lens_decoder,
     bool* stop_flags,
     const int64_t think_end_id,
     const int tokens_per_step,
@@ -106,7 +105,6 @@ __global__ void speculate_limit_thinking_content_length_kernel_v1(
   int discarded_tokens = original_accept_num - new_accept_num;
   if (discarded_tokens > 0) {
     step_idx[bid] -= discarded_tokens;
-    seq_lens_decoder[bid] -= discarded_tokens;
   }
 
   accept_num[bid] = new_accept_num;
@@ -119,7 +117,6 @@ void SpeculateLimitThinkingContentLengthV1(
     const paddle::Tensor& step_idx,
     const paddle::Tensor& limit_think_status,
     const paddle::Tensor& accept_num,
-    const paddle::Tensor& seq_lens_decoder,
     const paddle::Tensor& stop_flags,
     const paddle::Tensor& eos_token_ids,
     const int64_t think_end_id) {
@@ -134,7 +131,6 @@ void SpeculateLimitThinkingContentLengthV1(
       eos_token_ids.data<int64_t>(),
       const_cast<int*>(limit_think_status.data<int>()),
       const_cast<int*>(accept_num.data<int>()),
-      const_cast<int*>(seq_lens_decoder.data<int>()),
       const_cast<bool*>(stop_flags.data<bool>()),
       think_end_id,
       tokens_per_step,
@@ -148,7 +144,6 @@ PD_BUILD_STATIC_OP(speculate_limit_thinking_content_length_v1)
              "step_idx",
              "limit_think_status",
              "accept_num",
-             "seq_lens_decoder",
              "stop_flags",
              "eos_token_ids"})
     .Attrs({"think_end_id: int64_t"})
diff --git a/custom_ops/gpu_ops/speculate_decoding/speculate_limit_thinking_content_length_v2.cu b/custom_ops/gpu_ops/speculate_decoding/speculate_limit_thinking_content_length_v2.cu
index 270ab07e1..cc07fab94 100644
--- a/custom_ops/gpu_ops/speculate_decoding/speculate_limit_thinking_content_length_v2.cu
+++ b/custom_ops/gpu_ops/speculate_decoding/speculate_limit_thinking_content_length_v2.cu
@@ -25,7 +25,6 @@ __global__ void speculate_limit_thinking_content_length_kernel_v2(
     int64_t* step_idx,
     int* limit_think_status,
     int* accept_num,
-    int* seq_lens_decoder,
     const bool* stop_flags,
     const int64_t think_end_id,
     const int64_t line_break_id,
@@ -115,7 +114,6 @@ __global__ void speculate_limit_thinking_content_length_kernel_v2(
   int discarded_tokens = original_accept_num - new_accept_num;
   if (discarded_tokens > 0) {
     step_idx[bid] -= discarded_tokens;
-    seq_lens_decoder[bid] -= discarded_tokens;
   }
 
   accept_num[bid] = new_accept_num;
@@ -128,7 +126,6 @@ void SpeculateLimitThinkingContentLengthV2(
     const paddle::Tensor& step_idx,
     const paddle::Tensor& limit_think_status,
     const paddle::Tensor& accept_num,
-    const paddle::Tensor& seq_lens_decoder,
     const paddle::Tensor& stop_flags,
     const int64_t think_end_id,
     const int64_t line_break_id) {
@@ -141,7 +138,6 @@ void SpeculateLimitThinkingContentLengthV2(
       const_cast<int64_t*>(step_idx.data<int64_t>()),
       const_cast<int*>(limit_think_status.data<int>()),
       const_cast<int*>(accept_num.data<int>()),
-      const_cast<int*>(seq_lens_decoder.data<int>()),
       stop_flags.data<bool>(),
       think_end_id,
       line_break_id,
@@ -155,7 +151,6 @@ PD_BUILD_STATIC_OP(speculate_limit_thinking_content_length_v2)
              "step_idx",
              "limit_think_status",
              "accept_num",
-             "seq_lens_decoder",
              "stop_flags"})
     .Attrs({"think_end_id: int64_t", "line_break_id: int64_t"})
     .Outputs({"next_tokens_out"})
diff --git a/fastdeploy/model_executor/pre_and_post_process.py b/fastdeploy/model_executor/pre_and_post_process.py
index 17556c441..0ed6ec2c6 100644
--- a/fastdeploy/model_executor/pre_and_post_process.py
+++ b/fastdeploy/model_executor/pre_and_post_process.py
@@ -144,7 +144,6 @@ def speculate_limit_thinking_content_length(
     step_idx: paddle.Tensor,
     limit_think_status: paddle.Tensor,
     accept_num: paddle.Tensor,
-    seq_lens_decoder: paddle.Tensor,
     stop_flags: paddle.Tensor,
     eos_token_ids: paddle.Tensor,
     think_end_id: int,
@@ -158,7 +157,6 @@ def speculate_limit_thinking_content_length(
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             eos_token_ids,  # 处理由于模型效果问题导致思考过程中输出eos token的问题
             think_end_id,
@@ -172,7 +170,6 @@ def speculate_limit_thinking_content_length(
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -451,7 +448,6 @@ def post_process_specualate(
             step_idx=share_inputs["step_idx"],
             limit_think_status=share_inputs["limit_think_status"],
             accept_num=share_inputs["accept_num"],
-            seq_lens_decoder=share_inputs["seq_lens_decoder"],
             think_end_id=think_end_id,
             line_break_id=line_break_id,
         )
diff --git a/tests/operators/test_speculate_limit_thinking_content_length.py b/tests/operators/test_speculate_limit_thinking_content_length.py
index aa36793f6..2f88c1572 100644
--- a/tests/operators/test_speculate_limit_thinking_content_length.py
+++ b/tests/operators/test_speculate_limit_thinking_content_length.py
@@ -36,7 +36,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
         step_idx = paddle.to_tensor([5, 8], dtype="int64")
         limit_think_status = paddle.to_tensor([0, 0], dtype="int32")
         accept_num = paddle.to_tensor([3, 2], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([5, 8], dtype="int32")
         stop_flags = paddle.to_tensor([False, False], dtype="bool")
         eos_token_ids = paddle.to_tensor([[2], [2]], dtype="int64")
         think_end_id = 999
@@ -48,7 +47,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             eos_token_ids,
             think_end_id,
@@ -75,7 +73,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
         step_idx = paddle.to_tensor([12], dtype="int64")
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([4], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([12], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         eos_token_ids = paddle.to_tensor([[2], [2]], dtype="int64")
         think_end_id = 999
@@ -87,7 +84,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             eos_token_ids,
             think_end_id,
@@ -99,9 +95,8 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
         assert next_tokens.numpy()[0, 1] == 999  # Token at step 10, replaced with think_end_id
         assert accept_num.numpy()[0] == 2  # Only accept first 2 tokens
         assert limit_think_status.numpy()[0] == 2  # Status updated to 2
-        # step_idx and seq_lens_decoder should be adjusted
+        # step_idx should be adjusted
         assert step_idx.numpy()[0] == 10  # 12 - (4-2) = 10
-        assert seq_lens_decoder.numpy()[0] == 10  # 12 - (4-2) = 10
 
     def test_model_naturally_generates_think_end_id(self):
         """Test when model naturally generates think_end_id in accepted tokens"""
@@ -110,7 +105,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
         step_idx = paddle.to_tensor([5], dtype="int64")  # step 3-5
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([3], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([5], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         eos_token_ids = paddle.to_tensor([[2], [2]], dtype="int64")
         think_end_id = 999
@@ -122,7 +116,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             eos_token_ids,
             think_end_id,
@@ -140,7 +133,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
         step_idx = paddle.to_tensor([100], dtype="int64")
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([3], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([100], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         eos_token_ids = paddle.to_tensor([[2], [2]], dtype="int64")
         think_end_id = 999
@@ -152,7 +144,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             eos_token_ids,
             think_end_id,
@@ -170,7 +161,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
         step_idx = paddle.to_tensor([10], dtype="int64")
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([0], dtype="int32")  # No tokens accepted
-        seq_lens_decoder = paddle.to_tensor([10], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         eos_token_ids = paddle.to_tensor([[2], [2]], dtype="int64")
         think_end_id = 999
@@ -182,7 +172,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             eos_token_ids,
             think_end_id,
@@ -199,7 +188,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
         step_idx = paddle.to_tensor([10], dtype="int64")
         limit_think_status = paddle.to_tensor([3], dtype="int32")  # Terminal status
         accept_num = paddle.to_tensor([2], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([10], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         eos_token_ids = paddle.to_tensor([[2], [2]], dtype="int64")
         think_end_id = 999
@@ -211,7 +199,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             eos_token_ids,
             think_end_id,
@@ -228,7 +215,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
         step_idx = paddle.to_tensor([9], dtype="int64")  # base step = 9-2+1 = 8
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([2], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([9], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         eos_token_ids = paddle.to_tensor([[2], [2]], dtype="int64")
         think_end_id = 999
@@ -239,7 +225,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             eos_token_ids,
             think_end_id,
@@ -258,7 +243,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
         step_idx = paddle.to_tensor([6, 8, 50], dtype="int64")
         limit_think_status = paddle.to_tensor([0, 0, 0], dtype="int32")
         accept_num = paddle.to_tensor([3, 3, 2], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([6, 8, 50], dtype="int32")
         stop_flags = paddle.to_tensor([False, False, False], dtype="bool")
         eos_token_ids = paddle.to_tensor([[2], [2]], dtype="int64")
         think_end_id = 999
@@ -270,7 +254,6 @@ class TestSpeculateLimitThinkingContentLengthV1(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             eos_token_ids,
             think_end_id,
@@ -302,7 +285,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([5, 8], dtype="int64")
         limit_think_status = paddle.to_tensor([0, 0], dtype="int32")
         accept_num = paddle.to_tensor([3, 2], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([5, 8], dtype="int32")
         stop_flags = paddle.to_tensor([False, False], dtype="bool")
         think_end_id = 999
         line_break_id = 888
@@ -314,7 +296,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -335,7 +316,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([12], dtype="int64")
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([5], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([12], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         think_end_id = 999
         line_break_id = 888
@@ -347,7 +327,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -358,7 +337,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         assert limit_think_status.numpy()[0] == 1
         assert accept_num.numpy()[0] == 1  # Truncated after 1st token
         assert step_idx.numpy()[0] == 8  # 12 - (5-1)
-        assert seq_lens_decoder.numpy()[0] == 8
 
     def test_injection_sequence_steps(self):
         """Test each step of the injection sequence: \n, </think>, \n, \n"""
@@ -371,7 +349,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([5], dtype="int64")  # base_step = 5-1+1 = 5
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([1], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([5], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
 
         speculate_limit_thinking_content_length_v2(
@@ -380,7 +357,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -393,7 +369,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([6], dtype="int64")  # base_step = 6
         limit_think_status = paddle.to_tensor([1], dtype="int32")
         accept_num = paddle.to_tensor([1], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([6], dtype="int32")
 
         speculate_limit_thinking_content_length_v2(
             next_tokens,
@@ -401,7 +376,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -414,7 +388,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([7], dtype="int64")
         limit_think_status = paddle.to_tensor([1], dtype="int32")
         accept_num = paddle.to_tensor([1], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([7], dtype="int32")
 
         speculate_limit_thinking_content_length_v2(
             next_tokens,
@@ -422,7 +395,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -435,7 +407,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([8], dtype="int64")
         limit_think_status = paddle.to_tensor([1], dtype="int32")
         accept_num = paddle.to_tensor([1], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([8], dtype="int32")
 
         speculate_limit_thinking_content_length_v2(
             next_tokens,
@@ -443,7 +414,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -458,7 +428,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([5], dtype="int64")
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([3], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([5], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         think_end_id = 999
         line_break_id = 888
@@ -470,7 +439,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -486,7 +454,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([10], dtype="int64")
         limit_think_status = paddle.to_tensor([2], dtype="int32")
         accept_num = paddle.to_tensor([1], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([10], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         think_end_id = 999
         line_break_id = 888
@@ -498,7 +465,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -514,7 +480,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([100], dtype="int64")
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([2], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([100], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         think_end_id = 999
         line_break_id = 888
@@ -526,7 +491,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -543,7 +507,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([10], dtype="int64")
         limit_think_status = paddle.to_tensor([0], dtype="int32")
         accept_num = paddle.to_tensor([0], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([10], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         think_end_id = 999
         line_break_id = 888
@@ -555,7 +518,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,
@@ -572,7 +534,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
         step_idx = paddle.to_tensor([10], dtype="int64")
         limit_think_status = paddle.to_tensor([3], dtype="int32")
         accept_num = paddle.to_tensor([1], dtype="int32")
-        seq_lens_decoder = paddle.to_tensor([10], dtype="int32")
         stop_flags = paddle.to_tensor([False], dtype="bool")
         think_end_id = 999
         line_break_id = 888
@@ -584,7 +545,6 @@ class TestSpeculateLimitThinkingContentLengthV2(unittest.TestCase):
             step_idx,
             limit_think_status,
             accept_num,
-            seq_lens_decoder,
             stop_flags,
             think_end_id,
             line_break_id,