diff --git a/thunder/dynamo/compiler.py b/thunder/dynamo/compiler.py
index 6168f863d0..c7958be9b1 100644
--- a/thunder/dynamo/compiler.py
+++ b/thunder/dynamo/compiler.py
@@ -33,7 +33,7 @@ def __init__(self, **thunder_options):
 
         Keyword arguments:
             thunder_options: a dictionary of options to pass to :func:`thunder.jit`. Besides all the arguments to :func:`thunder.jit`,
-                             it accepts `torch_inductor_options` which are passed to `torch.compile` if part of the graph
+                             it accepts ``torch_inductor_options`` which are passed to :func:`torch.compile` if part of the graph
                              is not supported by thunder.
 
         Example:
@@ -88,18 +88,17 @@ def __call__(self, gm: torch.fx.GraphModule, sample_args: list[torch.SymInt, tor
 
     def save_reproducer_to_folder(self, reproducer_folder: str | PathLike, use_pytest_benchmark: bool = False):
         """
-        Save the reproducer script for the GraphModule executed by Thunder to the specified `reproducer_folder`.
+        Save the reproducer script for the GraphModule executed by Thunder to the specified ``reproducer_folder``.
         Each saved script is named as "graph[graph_id]_thunder_[module_id]", where:
 
-                - `graph_id` indexes the graph generated by Dynamo, which is then passed to Thunder.
-                - `module_id` indexes the submodule split by the :func:`thunder.dynamo.utils._splitter`.
+                - ``graph_id`` indexes the graph generated by Dynamo, which is then passed to Thunder.
+                - ``module_id`` indexes the submodule split by the :func:`thunder.dynamo.utils._splitter`.
 
         Args:
-            reproducer_folder (str | PathLike): The folder where the reproducer code will be written. Can be specified as an absolute or relative path.
-            use_pytest_benchmark (str): Determines the type of script to create:
-
-                - If use_pytest_benchmark=False: Creates a reproducer script.
-                - If use_pytest_benchmark=True: Creates a benchmark script to compare the reproducer's performance with other backends, including Torch eager, torch.compile, and torch.compile with `backend="eager"`.
+            reproducer_folder: The folder where the reproducer code will be written. Can be specified as an absolute or relative path.
+            use_pytest_benchmark: Determines the type of script to create. When :obj:`False`, create a reproducer script.
+                Otherwise, creats a benchmark script to compare the reproducer's performance with other backends, including Torch eager, torch.compile,
+                and torch.compile with ``backend="eager"``.
         """
         if not self.subgraph_infos:
             raise TypeError(f"{self} doesn't seem to have been called yet.")