diff --git a/vllm/model_executor/models/llama.py b/vllm/model_executor/models/llama.py
index fe94bb352961b..ff0ab011a9158 100644
--- a/vllm/model_executor/models/llama.py
+++ b/vllm/model_executor/models/llama.py
@@ -54,7 +54,7 @@
 
 from .interfaces import SupportsLoRA, SupportsPP
 from .utils import (AutoWeightsLoader, PPMissingLayer, WeightsMapper,
-                    is_pp_missing_parameter,
+                    extract_layer_index, is_pp_missing_parameter,
                     make_empty_intermediate_tensors_factory, make_layers,
                     maybe_prefix)
 
@@ -114,6 +114,7 @@ def __init__(
         prefix: str = "",
     ) -> None:
         super().__init__()
+        layer_idx = extract_layer_index(prefix)
         self.hidden_size = hidden_size
         tp_size = get_tensor_model_parallel_world_size()
         self.total_num_heads = num_heads
@@ -168,6 +169,18 @@ def __init__(
             rope_scaling=rope_scaling,
             is_neox_style=is_neox_style,
         )
+
+        if hasattr(config, "interleaved_sliding_window"):
+            if isinstance(config.interleaved_sliding_window, int):
+                sliding_window = config.interleaved_sliding_window
+            elif isinstance(config.interleaved_sliding_window, list):
+                sw_idx = layer_idx % len(config.interleaved_sliding_window)
+                sliding_window = config.interleaved_sliding_window[sw_idx]
+            else:
+                raise ValueError(f"{type(sliding_window)} is not supported.")
+        else:
+            sliding_window = None
+
         self.attn = Attention(
             self.num_heads,
             self.head_dim,
@@ -175,6 +188,7 @@ def __init__(
             num_kv_heads=self.num_kv_heads,
             cache_config=cache_config,
             quant_config=quant_config,
+            per_layer_sliding_window=sliding_window,
             prefix=f"{prefix}.attn",
         )