diff --git a/unsloth/models/gemma.py b/unsloth/models/gemma.py
index 47112ec4de..6a44137402 100644
--- a/unsloth/models/gemma.py
+++ b/unsloth/models/gemma.py
@@ -79,6 +79,7 @@ class FastGemmaRotaryEmbedding(torch.nn.Module):
         inv_freq = 1.0 / (
             self.base ** (torch.arange(0, self.dim, 2, dtype=torch.int64, device="cpu").float() / self.dim)
         )
+        print(inv_freq)
         t = torch.arange(self.max_position_embeddings, device="cpu", dtype=torch.int64).float().to("cuda").unsqueeze(0)
         inv_freq_expanded = inv_freq[None, :, None].float().expand(1, -1, 1).to("cuda")
         position_ids_expanded = t[:, None, :].float()
@@ -103,10 +104,12 @@ class FastGemmaRotaryEmbedding(torch.nn.Module):
                 self.base ** (torch.arange(0, self.dim, 2, dtype=torch.int64, device="cuda").float() / self.dim)
             )
 
+        print(self.inv_freq)
         t = torch.arange(self.max_position_embeddings, device="cpu", dtype=torch.int64).float().to("cuda").unsqueeze(0)
         inv_freq_expanded = self.inv_freq[None, :, None].float().expand(position_ids.shape[0], -1, 1).to("cuda")
         position_ids_expanded = t[:, None, :].float()
         freqs = (inv_freq_expanded @ position_ids_expanded).transpose(1, 2)
+        print(freqs.to(torch.int64))
         emb = torch.cat((freqs, freqs), dim=-1)
 
         seq_len = position_ids.shape[1]