diff --git a/unsloth/kernels/rms_layernorm.py b/unsloth/kernels/rms_layernorm.py
index 10b435dd57..4b22f8c3e5 100644
--- a/unsloth/kernels/rms_layernorm.py
+++ b/unsloth/kernels/rms_layernorm.py
@@ -191,7 +191,7 @@ pass
 
 
 # [TODO] Unsure why RMS Layernorm is not torch.compiling properly
-# @torch.compiler.disable
+@torch.compiler.disable
 def fast_rms_layernorm(layernorm, X : torch.Tensor, gemma : bool = False):
     W : torch.Tensor = layernorm.weight
     eps : float = layernorm.variance_epsilon if \
diff --git a/unsloth/kernels/rope_embedding.py b/unsloth/kernels/rope_embedding.py
index 246055dc7b..7fe15d0e3b 100644
--- a/unsloth/kernels/rope_embedding.py
+++ b/unsloth/kernels/rope_embedding.py
@@ -25,9 +25,9 @@ def _rope_embedding(
     cos, cos_row_stride,
     sin, sin_row_stride,
     seqlen,
-    head_dim,
-    n_heads,
-    BACKWARD_PASS,
+    head_dim      : tl.constexpr,
+    n_heads       : tl.constexpr,
+    BACKWARD_PASS : tl.constexpr,
     BLOCK_SIZE    : tl.constexpr,
 ):
     """
@@ -144,7 +144,8 @@ class Fast_RoPE_Embedding(torch.autograd.Function):
     pass
 pass
 
-
+# [TODO] Unsure why RoPE Embedding is not torch.compiling properly
+@torch.compiler.disable
 def fast_rope_embedding(Q, K, cos, sin):
     Q = Fast_RoPE_Embedding.apply(Q.transpose(1, 2), cos, sin).transpose(1, 2)
     K = Fast_RoPE_Embedding.apply(K.transpose(1, 2), cos, sin).transpose(1, 2)