diff --git a/python/llm/src/bigdl/llm/transformers/convert.py b/python/llm/src/bigdl/llm/transformers/convert.py
index 6b1ccec874e..3db80682f16 100644
--- a/python/llm/src/bigdl/llm/transformers/convert.py
+++ b/python/llm/src/bigdl/llm/transformers/convert.py
@@ -46,6 +46,7 @@
 from .utils import logger
 from typing import Union
 import numpy as np
+import os
 from bigdl.llm.utils.common import invalidInputError
 
 
@@ -375,8 +376,6 @@ def _optimize_post(model, lightweight_bmm=False):
     from bigdl.llm.transformers.models.llama import llama_attention_forward_4_31
     from bigdl.llm.transformers.models.llama import llama_rms_norm_forward
     from bigdl.llm.transformers.models.llama import llama_mlp_forward
-    from bigdl.llm.transformers.models.llama import llama_attention_selective_batching_forward_4_31
-    from bigdl.llm.transformers.models.llama import llama_model_selective_batching_forward_4_31
     from transformers.modeling_utils import PreTrainedModel
 
     # All huggingface format models are inherited from `PreTrainedModel`
@@ -385,12 +384,16 @@ def _optimize_post(model, lightweight_bmm=False):
                     "supported for further optimizations")
         return model
 
+    enable_vllm_selective_batching = os.getenv("VLLM_ENABLE_SELECTIVE_BATCHING")
+    enable_vllm_selective_batching = True if enable_vllm_selective_batching is not None \
+                                     and enable_vllm_selective_batching.lower()=="true" \
+                                     else False
     trans_version = transformers.__version__
     if version.parse(trans_version) >= version.parse("4.31.0"):
         convert_forward(
             model,
             transformers.models.llama.modeling_llama.LlamaAttention,
-            llama_attention_selective_batching_forward_4_31,)
+            llama_attention_forward_4_31,)
         convert_forward(
             model,
             transformers.models.llama.modeling_llama.LlamaRMSNorm,
@@ -398,11 +401,19 @@ def _optimize_post(model, lightweight_bmm=False):
         convert_forward(model,
                         transformers.models.llama.modeling_llama.LlamaMLP,
                         llama_mlp_forward)
-        convert_forward(
-            model,
-            transformers.models.llama.modeling_llama.LlamaModel,
-            llama_model_selective_batching_forward_4_31,
-        )
+        if enable_vllm_selective_batching:
+            from bigdl.llm.transformers.models.llama import llama_attention_selective_batching_forward_4_31
+            from bigdl.llm.transformers.models.llama import llama_model_selective_batching_forward_4_31
+            convert_forward(
+                model,
+                transformers.models.llama.modeling_llama.LlamaModel,
+                llama_model_selective_batching_forward_4_31,
+            )
+            convert_forward(
+                model,
+                transformers.models.llama.modeling_llama.LlamaAttention,
+                llama_attention_selective_batching_forward_4_31,
+            )
     else:
         # todo implement 4.28.0 ~ 4.30.2
         pass