diff --git a/README.md b/README.md
index 40c242c8..542e1ae1 100644
--- a/README.md
+++ b/README.md
@@ -143,19 +143,6 @@ Then browse to
 3) Manually install AutoGPTQ: [Installation](https://github.com/PanQiWei/AutoGPTQ#install-from-source).
     * Perform the from-source installation - there are no prebuilt ROCm packages for Windows.
 
-##### Older NVIDIA GPUs
-
-1) For Kepler GPUs and older, you will need to install CUDA 11.8 instead of 12:
-
-```
-pip3 install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu118
-conda install -y -c "nvidia/label/cuda-11.8.0" cuda-runtime
-```
-
-2) bitsandbytes >= 0.39 may not work. In that case, to use `--load-in-8bit`, you may have to downgrade like this:
-    * Linux: `pip install bitsandbytes==0.38.1`
-    * Windows: `pip install https://github.com/jllllll/bitsandbytes-windows-webui/raw/main/bitsandbytes-0.38.1-py3-none-any.whl`
-
 ##### Manual install
 
 The `requirements*.txt` above contain various wheels precompiled through GitHub Actions. If you wish to compile things manually, or if you need to because no suitable wheels are available for your hardware, you can use `requirements_nowheels.txt` and then install your desired loaders manually.