diff --git a/torchsnapshot/manifest_ops.py b/torchsnapshot/manifest_ops.py
index 9e45849..138b037 100644
--- a/torchsnapshot/manifest_ops.py
+++ b/torchsnapshot/manifest_ops.py
@@ -126,8 +126,8 @@ def handle_sharded_tensor_elasticity(
     :class:`ShardedTensor` can be elastic in several ways:
 
     - A rank loads a portion of a sharded tensor different from what it saved
-    - A rank loads a sharded tensor that it did not participate in saving
-    - A rank doesn't load a sharded tensor that it participated in saving
+    - A rank loads a sharded tensor that did not participate in saving
+    - A rank doesn't load a sharded tensor that participated in saving
 
     The first scenario is taken care of by :func:`get_manifest_for_rank`, which
     makes all shards available to all instances of :class:`ShardedTensorEntry`.
@@ -143,7 +143,7 @@ def handle_sharded_tensor_elasticity(
 
     NOTE: this function only takes effect if all sharded tensors are at the
     root of the state dict. This means the elastic behavior is supported for
-    most model but not supported for most optimizers.
+    most models but not supported for most optimizers.
 
     Args:
         manifest: The local manifest for the rank.