diff --git a/examples/gemma/modules.py b/examples/gemma/modules.py
index eb7ff216..be152eda 100644
--- a/examples/gemma/modules.py
+++ b/examples/gemma/modules.py
@@ -33,6 +33,7 @@
 Shape = Sequence[Union[int, Any]]
 
 K_MASK = -2.3819763e38  # Set to a large negative number.
+DEFAULT_ROPE_BASE_FREQUENCY = 10_000
 
 
 class AttentionType(enum.Enum):
@@ -84,6 +85,7 @@ def __init__(
       attn_type: AttentionType,
       *,
       rngs: nnx.Rngs,
+      rope_base_frequency: int = DEFAULT_ROPE_BASE_FREQUENCY,
       attn_logits_soft_cap: float | None = None,
       sliding_window_size: int | None = None,
       use_qk_norm: bool = False,
@@ -103,6 +105,7 @@ def __init__(
         shape=(num_heads, head_dim, features),
         rngs=rngs,
     )
+    self.rope_base_frequency = rope_base_frequency
     self.use_qk_norm = use_qk_norm
     self.sow_config = sow_config
 
@@ -150,12 +153,14 @@ def __call__(
         query_proj,
         segment_pos,
         head_dim=self.head_dim,
+        max_wavelength=self.rope_base_frequency,
     )
     query_scaled = query_proj * self.query_pre_attn_scalar
     key_proj = positional_embeddings.apply_rope(
         key_proj,
         segment_pos,
         head_dim=self.head_dim,
+        max_wavelength=self.rope_base_frequency,
     )
 
     # Cache is left aligned.
@@ -310,6 +315,7 @@ def __init__(
       attn_type: AttentionType,
       *,
       rngs: nnx.Rngs,
+      rope_base_frequency: int = DEFAULT_ROPE_BASE_FREQUENCY,
       attn_logits_soft_cap: float | None = None,
       sliding_window_size: int | None = None,
       use_qk_norm: bool = False,
@@ -323,6 +329,7 @@ def __init__(
         head_dim=head_dim,
         query_pre_attn_scalar=query_pre_attn_scalar,
         attn_type=attn_type,
+        rope_base_frequency=rope_base_frequency,
         attn_logits_soft_cap=attn_logits_soft_cap,
         sliding_window_size=sliding_window_size,
         rngs=rngs,
diff --git a/examples/gemma/transformer.py b/examples/gemma/transformer.py
index 8f999980..98b1c8e9 100644
--- a/examples/gemma/transformer.py
+++ b/examples/gemma/transformer.py
@@ -65,6 +65,8 @@ class TransformerConfig:
       QueryPreAttentionNormalisation.BY_ONE_OVER_SQRT_HEAD_DIM
   )
   attn_logits_soft_cap: float | None = None
+  local_base_frequency: int = modules.DEFAULT_ROPE_BASE_FREQUENCY
+  global_base_frequency: int = modules.DEFAULT_ROPE_BASE_FREQUENCY
   use_qk_norm: bool = False
   sliding_window_size: int | None = None
 
@@ -277,6 +279,9 @@ def __init__(
             attn_type=attn_type,
             query_pre_attn_scalar=config.query_pre_attn_scalar(),
             rngs=rngs,
+            rope_base_frequency=config.local_base_frequency
+            if attn_type == modules.AttentionType.LOCAL_SLIDING
+            else config.global_base_frequency,
             use_qk_norm=config.use_qk_norm,
             sow_config=sow_config,
         )