diff --git a/README.md b/README.md
index 80d000b718..b283b97f6b 100644
--- a/README.md
+++ b/README.md
@@ -149,11 +149,11 @@ For **advanced installation instructions** or if you see weird errors during ins
 1. Install `torch` and `triton`. Go to https://pytorch.org to install it. For example `pip install torch torchvision torchaudio triton`
 2. Confirm if CUDA is installed correctly. Try `nvcc`. If that fails, you need to install `cudatoolkit` or CUDA drivers.
 3. Install `xformers` manually via:
-```bash
-pip install ninja
-pip install -v --no-build-isolation -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers
-```
-Check if `xformers` succeeded with `python -m xformers.info` Go to https://github.com/facebookresearch/xformers. Another option is to install `flash-attn` for Ampere GPUs and ignore `xformers`
+  ```bash
+  pip install ninja
+  pip install -v --no-build-isolation -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers
+  ```
+  Check if `xformers` succeeded with `python -m xformers.info` Go to https://github.com/facebookresearch/xformers. Another option is to install `flash-attn` for Ampere GPUs and ignore `xformers`
 5. You can try installing `vllm` and seeing if `vllm` succeeds.
 6. Double check that your versions of Python, CUDA, CUDNN, `torch`, `triton`, and `xformers` are compatible with one another. The [PyTorch Compatibility Matrix](https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix) may be useful. 
 5. Finally, install `bitsandbytes` and check it with `python -m bitsandbytes`