diff --git a/docs/01.-Getting-Started.md b/docs/01.-Getting-Started.md
index 330116c..6f705cc 100644
--- a/docs/01.-Getting-Started.md
+++ b/docs/01.-Getting-Started.md
@@ -165,7 +165,7 @@ These are short-form instructions for other methods that users can use to instal
 > [!NOTE]
 > If you are planning to use custom versions of dependencies such as dev ExllamaV2, make sure to build the Docker image yourself!
 
-1. Install Docker and docker compose from the [docs](https://docs.docker.com/compose/install/
+1. Install Docker and docker compose from the [docs](https://docs.docker.com/compose/install/)
 2. Install the Nvidia container compatibility layer
     1. For Linux: [Nvidia container toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html)
     2. For Windows: [Cuda Toolkit on WSL](https://docs.nvidia.com/cuda/wsl-user-guide/index.html)
diff --git a/pyproject.toml b/pyproject.toml
index cb99dab..5b0485a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -72,8 +72,9 @@ cu12 = [
     "triton ; platform_system == 'Linux' and platform_machine == 'x86_64'",
     "triton-windows ; platform_system == 'Windows'",
 
-    # xformers
-    "xformers",
+    # xformers (cu128 wheels from the PyTorch index)
+    "xformers @ https://download.pytorch.org/whl/cu128/xformers-0.0.33-cp39-abi3-manylinux_2_28_x86_64.whl ; platform_system == 'Linux' and platform_machine == 'x86_64'",
+    "xformers @ https://download.pytorch.org/whl/cu128/xformers-0.0.33-cp39-abi3-win_amd64.whl ; platform_system == 'Windows'",
 
     # Exl2
     "exllamav2 @ https://github.com/turboderp-org/exllamav2/releases/download/v0.3.2/exllamav2-0.3.2+cu128.torch2.9.0-cp313-cp313-win_amd64.whl ; platform_system == 'Windows' and python_version == '3.13'",