docs: small fixes

docs/source/installation.mdx

@@ -19,7 +19,7 @@ Welcome to the installation guide for the `bitsandbytes` library! This document
 
 ## CUDA[[cuda]]
 
-`bitsandbytes` is currently only supported on CUDA GPUs for CUDA versions **11.0 - 12.5**. However, there's an ongoing multi-backend effort under development, which is currently in alpha. If you're interested in providing feedback or testing, check out [the multi-backend section below](#multi-backend-support-alpha-release).
+`bitsandbytes` is currently only supported on CUDA GPUs for CUDA versions **11.0 - 12.5**. However, there's an ongoing multi-backend effort under development, which is currently in alpha. If you're interested in providing feedback or testing, check out [the multi-backend section below](#multi-backend).
 
 ### Supported CUDA Configurations[[cuda-pip]]
 
@@ -78,7 +78,7 @@ Refer to the following table if you're using another CUDA Toolkit version.
 Now to install the bitsandbytes package from source, run the following commands:
 
 ```bash
-git clone https://github.com/TimDettmers/bitsandbytes.git && cd bitsandbytes/
+git clone https://github.com/bitsandbytes-foundation/bitsandbytes.git && cd bitsandbytes/
 pip install -r requirements-dev.txt
 cmake -DCOMPUTE_BACKEND=cuda -S .
 make
@@ -102,7 +102,7 @@ Refer to the following table if you're using another CUDA Toolkit version.
 | >= 11.6 | 19.30+ (VS2022) |
 
 ```bash
-git clone https://github.com/TimDettmers/bitsandbytes.git && cd bitsandbytes/
+git clone https://github.com/bitsandbytes-foundation/bitsandbytes.git && cd bitsandbytes/
 pip install -r requirements-dev.txt
 cmake -DCOMPUTE_BACKEND=cuda -S .
 cmake --build . --config Release
@@ -126,7 +126,7 @@ Some bitsandbytes features may need a newer CUDA version than the one currently
 Then locally install the CUDA version you need with this script from bitsandbytes:
 
 ```bash
-wget https://raw.githubusercontent.com/TimDettmers/bitsandbytes/main/install_cuda.sh
+wget https://raw.githubusercontent.com/bitsandbytes-foundation/bitsandbytes/main/install_cuda.sh
 # Syntax cuda_install CUDA_VERSION INSTALL_PREFIX EXPORT_TO_BASH
 #   CUDA_VERSION in {110, 111, 112, 113, 114, 115, 116, 117, 118, 120, 121, 122, 123, 124, 125}
 #   EXPORT_TO_BASH in {0, 1} with 0=False and 1=True
@@ -306,7 +306,7 @@ Similar to the CUDA case, you can compile bitsandbytes from source for Linux and
 The below commands are for Linux. For installing on Windows, please adapt the below commands according to the same pattern as described [the section above on compiling from source under the Windows tab](#cuda-compile).
 
 ```
-git clone --depth 1 -b multi-backend-refactor https://github.com/TimDettmers/bitsandbytes.git && cd bitsandbytes/
+git clone --depth 1 -b multi-backend-refactor https://github.com/bitsandbytes-foundation/bitsandbytes.git && cd bitsandbytes/
 pip install intel_extension_for_pytorch
 pip install -r requirements-dev.txt
 cmake -DCOMPUTE_BACKEND=cpu -S .