diff --git a/docs/01.-Getting-Started.md b/docs/01.-Getting-Started.md
index 1ba1041..330116c 100644
--- a/docs/01.-Getting-Started.md
+++ b/docs/01.-Getting-Started.md
@@ -121,7 +121,7 @@ NOTE:
 Here are ways to install exllamav2:
 
 1. From a [wheel/release](https://github.com/turboderp/exllamav2#method-2-install-from-release-with-prebuilt-extension) (Recommended)
-    1. Find the version that corresponds with your cuda and python version. For example, a wheel with `cu12` and `cp311` corresponds to CUDA 12.1 and python 3.11
+    1. Find the version that corresponds with your cuda and python version. For example, a wheel with `cu121` and `cp311` corresponds to CUDA 12.1 and python 3.11
 2. From [pip](https://github.com/turboderp/exllamav2#method-3-install-from-pypi): `pip install exllamav2`
     2. This is a JIT compiled extension, which means that the initial launch of tabbyAPI will take some time. The build may also not work due to improper environment configuration.
 3. From [source](https://github.com/turboderp/exllamav2#method-1-install-from-source)
diff --git a/start.py b/start.py
index 6b41bc7..6b7130c 100644
--- a/start.py
+++ b/start.py
@@ -11,11 +11,12 @@ import traceback
 from shutil import copyfile
 from typing import List
 
-has_uv = subprocess.run(
-    ["uv", "--version"],
-    stdout=subprocess.DEVNULL,
-    stderr=subprocess.DEVNULL
-).returncode == 0
+has_uv = (
+    subprocess.run(
+        ["uv", "--version"], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL
+    ).returncode
+    == 0
+)
 
 start_options = {}
 
@@ -149,7 +150,7 @@ def migrate_start_options(start_options: dict):
 
     # Migrate gpu_lib key
     gpu_lib = start_options.get("gpu_lib")
-    if (gpu_lib == "cu121" or gpu_lib == "cu118"):
+    if gpu_lib == "cu121" or gpu_lib == "cu118":
         print("GPU lib key is legacy, migrating to cu12")
         start_options["gpu_lib"] = "cu12"
         migrated = True
@@ -165,7 +166,6 @@ def run_pip(command: List[str]):
 
 
 if __name__ == "__main__":
-
     # Create an argparser and add extra startup script args
     # Try creating a full argparser if pydantic is installed
     # Otherwise, create an abridged one solely for startup