diff --git a/examples/apple/coreml/llama/llama_transformer.py b/examples/apple/coreml/llama/llama_transformer.py
index 324f4aa1f2e..857266950c3 100644
--- a/examples/apple/coreml/llama/llama_transformer.py
+++ b/examples/apple/coreml/llama/llama_transformer.py
@@ -64,6 +64,8 @@ class ModelArgs:
     use_scaled_rope: bool = True  # Use scaled RoPE, introduced in llama3.1.
     # Additional Model Metadata needed at runtime
     rope_scale_factor: int = 8
+    high_freq_factor: int = 4
+
     bos_idx: int = 1
     eos_idx: int = 3
     bos_count: int = -1  # i.e., a single EOS is used as BOS
@@ -74,6 +76,9 @@ class ModelArgs:
 
     use_cache_list: bool = True
 
+    use_kv_cache: bool = False
+    enable_dynamic_shape: bool = False
+    
     def __post_init__(self):
         if self.n_kv_heads is None:
             self.n_kv_heads = self.n_heads
@@ -160,10 +165,16 @@ def __init__(self, params: ModelArgs):
         super().__init__()
         self.params = params
         if self.params.use_hf_rope:
-            self.precompute_freqs_cis = hf_precompute_freqs_cis
+            self.precompute_freqs_cis = partial(
+                hf_precompute_freqs_cis,
+                partial_rotary_factor=self.params.partial_rotary_factor,
+            )
         else:
             self.precompute_freqs_cis = partial(
-                precompute_freqs_cis, use_scaled=self.params.use_scaled_rope
+                precompute_freqs_cis,
+                use_scaled=self.params.use_scaled_rope,
+                scale_factor=self.params.rope_scale_factor,
+                high_freq_factor=self.params.high_freq_factor,
             )
         freqs_cos, freqs_sin = self.precompute_freqs_cis(
             self.params.head_dim,