diff --git a/llm/server/server/data/processor.py b/llm/server/server/data/processor.py
index 423fe6b614..83b365bb51 100644
--- a/llm/server/server/data/processor.py
+++ b/llm/server/server/data/processor.py
@@ -282,7 +282,7 @@ def _load_tokenizer(self):
         """
         if self.config.use_hf_tokenizer:
             from transformers import AutoTokenizer
-            return AutoTokenizer.from_pretrained(self.config.model_dir, use_fast=False, vocab_file=os.path.join(self.config.model_dir, "sentencepiece.bpe.model"))
+            return AutoTokenizer.from_pretrained(self.config.model_dir, use_fast=False)
         else:
             from paddlenlp.transformers import AutoTokenizer
             return AutoTokenizer.from_pretrained(self.config.model_dir)
diff --git a/llm/server/server/engine/infer.py b/llm/server/server/engine/infer.py
index 655ec060e7..b6e15e17af 100644
--- a/llm/server/server/engine/infer.py
+++ b/llm/server/server/engine/infer.py
@@ -52,6 +52,8 @@ def __init__(self, args):
         self.args.num_attention_heads = self.get_value(self.model_cfg, ["num_attention_heads", "n_head"])
         self.args.hidden_size = self.model_cfg["hidden_size"]
 
+        self.reduce_dialogue_repetition = int(os.environ.get("REDUCE_DIALOGUE_REPETITION", 0))
+
         self.nranks = dist.get_world_size()
         self.init_dist_env()
         self.rank = fleet.worker_index()
@@ -246,6 +248,12 @@ def init_inputs(self):
         self.share_inputs['free_list_len'] = paddle.full(
                             shape=[1], fill_value=self.free_list_len, dtype="int32")
 
+        if self.reduce_dialogue_repetition:
+            self.share_inputs["first_token_ids"] = paddle.full(
+                shape=[self.args.max_batch_size, 1], fill_value=-1, dtype="int64")
+            self.share_inputs["ori_seq_lens_encoder"] = paddle.full(
+                shape=[self.args.max_batch_size, 1], fill_value=0, dtype="int32")
+
     def dy_input_preprocess(self, tasks):
         """
         dynamic insertion
@@ -279,6 +287,10 @@ def dy_input_preprocess(self, tasks):
             self.share_inputs['max_length'][idx:idx + 1] = max_dec_len
             self.share_inputs['stop_flags'][idx:idx + 1] = False
 
+            if self.reduce_dialogue_repetition:
+                self.share_inputs['first_token_ids'][idx:idx + 1] =  self.share_inputs['input_ids'][idx:idx + 1, :1]
+                self.share_inputs["ori_seq_lens_encoder"][idx:idx + 1] = length
+
             if "infer_seed" in task:
                 self.share_inputs['infer_seed'][idx:idx + 1] = task['infer_seed']