diff --git a/src/levanter/models/attention.py b/src/levanter/models/attention.py
index cdc344c54..39f3cb3df 100644
--- a/src/levanter/models/attention.py
+++ b/src/levanter/models/attention.py
@@ -440,9 +440,9 @@ def _bin_and_group_axes_by_function(q, k, v, QPos, KPos, Key):
     NVTE and the Splash Attention kernel require the Q, K, and V to be in a specific format. This function groups the axes
     of Q, K, and V into the right bins to match that format.
 
-    NVTE requires Q, K, and V to have shape BSHD (Batch, Sequence, Head, Embed), while Splash Attention requires BHSD
-     the size of the axes is a bit flexible,
-    with the following conditions:
+    NVTE requires Q, K, and V to have shape BSHD (Batch, Sequence, Head, Embed), while Splash Attention requires BHSD.
+
+    The size of the axes is a bit flexible, with the following conditions:
     - B must be the same for all (TODO: is this true?)
     - S must be the same for K and V. Q's S can be different
     - H: Q's H must be a multiple of K's H (for GQA or MQA)