diff --git a/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/models/modeling_llama.py b/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/models/modeling_llama.py
index fd98d194667..3a961b9c1e0 100644
--- a/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/models/modeling_llama.py
+++ b/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/models/modeling_llama.py
@@ -137,10 +137,10 @@ def __init__(
         self._init_rope()
 
         self._init_func = []
-    
+
     def register_init_func(self, func):
         self._init_func.append(func)
-    
+
     def post_init(self):
         for func in self._init_func:
             func(self)
@@ -690,13 +690,13 @@ def __init__(
             self.model.layers[layer_idx].self_attn.post_init()
 
             self.model.layers[layer_idx].self_attn.pruner = self.pruner
-        
+
         # Initialize weights and apply final processing
         self.post_init()
 
         def _generate(**kwargs):
-            self.pruner.before_generate(self, **kwargs) 
-            result = self.ori_generate(**kwargs) 
+            self.pruner.before_generate(self, **kwargs)
+            result = self.ori_generate(**kwargs)
             self.pruner.after_generate(self, **kwargs)
             return result
 
diff --git a/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/__init__.py b/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/__init__.py
index 33a5058953d..7f9ede223e8 100644
--- a/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/__init__.py
+++ b/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/__init__.py
@@ -1,2 +1,16 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 from .base import PruneConfig, KVPruner
-from .h2o import H2OConfig, H2OKVPruner
\ No newline at end of file
+from .h2o import H2OConfig, H2OKVPruner
diff --git a/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/base.py b/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/base.py
index a6000057926..ee0e5b25b72 100644
--- a/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/base.py
+++ b/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/base.py
@@ -1,3 +1,17 @@
+# Copyright (c) 2024 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 class PruneConfig(dict):
     def __init__(self, real_drop=True):
         self.real_drop = real_drop
@@ -25,7 +39,7 @@ def get_mask(self, model, **kwargs):
     @property
     def past_length(self):
         return self._past_length
-    
+
     @past_length.setter
     def past_length(self, value):
-        self._past_length = value
\ No newline at end of file
+        self._past_length = value
diff --git a/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/h2o.py b/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/h2o.py
index e8346c7209d..802ebc495be 100644
--- a/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/h2o.py
+++ b/intel_extension_for_transformers/transformers/modeling/kv_cache_compression/prune/h2o.py
@@ -242,7 +242,7 @@ def prune(self, module, query_states, key_states, value_states, causal_mask=None
         if not self.config.real_drop:
             module.h2o_kv_cache.clean_scores()
         return module.h2o_kv_cache(attn_weights, key_states, value_states, **kwargs)
-    
+
     def get_mask(self, module, query_states, key_states, value_states, causal_mask=None, **kwargs):
         attn_weights = torch.matmul(query_states, key_states.transpose(-2, -1)) / math.sqrt(module.head_dim)
         if causal_mask is not None:  # no matter the length, we just slice it
@@ -252,4 +252,4 @@ def get_mask(self, module, query_states, key_states, value_states, causal_mask=N
             self.config.recent_ratio,
             attn_weights,
             local=self.config.local)
-        return mask
\ No newline at end of file
+        return mask