diff --git a/src/liger_kernel/chunked_loss/fused_linear_distillation.py b/src/liger_kernel/chunked_loss/fused_linear_distillation.py
index 5b0ef192a..26a942512 100644
--- a/src/liger_kernel/chunked_loss/fused_linear_distillation.py
+++ b/src/liger_kernel/chunked_loss/fused_linear_distillation.py
@@ -115,6 +115,21 @@ def _compute_loss(
         student_logits_chunk /= temperature
         teacher_logits_chunk /= temperature
 
+        # If the teacher and student token size is different, pad student logits to match the teacher's.
+        # This only applies to cases where they share exactly the same vocab and tokenizer just
+        # that teacher logit is padded for some training efficiency such as
+        # https://huggingface.co/Qwen/Qwen1.5-72B-Chat/discussions/1#662883f568adf59b07b176d2
+        teacher_vocab_size = teacher_weight.shape[0]
+        student_vocab_size = student_weight.shape[0]
+        if teacher_vocab_size > student_vocab_size:
+            pad_size = teacher_vocab_size - student_vocab_size
+            pad_tensor = torch.zeros(
+                (*student_logits_chunk.shape[:-1], pad_size),
+                dtype=student_logits_chunk.dtype,
+                device=student_logits_chunk.device,
+            )
+            student_logits_chunk = torch.cat([student_logits_chunk, pad_tensor], dim=-1)
+
         hard_loss /= full_target.shape[0]
 
         soft_loss = distillation_loss_fn(student_logits_chunk, teacher_logits_chunk, **loss_kwargs)