Update README.md

README.md

@@ -197,28 +197,30 @@ DeepSpeed Version 11.2 with CUDA 11.8 or 12.1 - Installation Instructions:
 1. Download the 11.2 release of [DeepSpeed](https://github.com/microsoft/DeepSpeed/releases/tag/v0.11.2) extract it to a folder. 
 2. Install Visual C++ build tools, such as [VS2019 C++ x64/x86](https://learn.microsoft.com/en-us/visualstudio/releases/2019/redistribution#vs2019-download) build tools.
 3. Download and install the [Nvidia Cuda Toolkit 11.8 or 12.1](https://developer.nvidia.com/cuda-toolkit-archive)
-4. OPTIONAL If you do not have an python environment already created, you can install [Miniconda](https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html), then at a command prompt, create and activate your environment with:<br><br>
+4. **OPTIONAL** If you do not have an python environment already created, you can install [Miniconda](https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html), then at a command prompt, create and activate your environment with:<br><br>
 ```conda create -n pythonenv python=3.11```<br>
-```activate pythonenv```<br><br>
+```activate pythonenv```<br>
-If you are using the **text-generation-webui** python environment, then in the `text-generation-webui` folder you will run `cmd_windows.bat` to start the python evnironment.<br>
 
 5. Launch the Command Prompt cmd with Administrator privilege as it requires admin to allow creating symlink folders.
-6. Install PyTorch, 2.1.0 with CUDA 11.8 or 12.1 into your Python 3.1x.x environment e.g:<br><br>
+6. If you are using the **text-generation-webui** python environment, then in the `text-generation-webui` folder you will run `cmd_windows.bat` to start the python evnironment.<br><br>
+Otherwise Install PyTorch, 2.1.0 with CUDA 11.8 or 12.1 into your Python 3.1x.x environment e.g:<br><br>
 ```activate pythonenv``` (activate your python environment)<br>
 ```conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=12.1 -c pytorch -c nvidia```<br>
 or<br>
 ```conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=11.8 -c pytorch -c nvidia```<br>
-7. Set your CUDA Windows environment variables in the command prompt to ensure that CUDA_HOME and CUDA_PATH are set to your Nvidia Cuda Toolkit path. (The folder above the bin folder that nvcc.exe is installed in). Examples are:<br><br>
+
+
+9. Set your CUDA Windows environment variables in the command prompt to ensure that CUDA_HOME and CUDA_PATH are set to your Nvidia Cuda Toolkit path. (The folder above the bin folder that nvcc.exe is installed in). Examples are:<br><br>
 ```set CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1```<br>
 ```set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1```<br>
 or<br>
 ```set CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8```<br>
 ```set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8```<br>
 
-8. Navigate to wherever you extracted the deepspeed folder in the Command Prompt:<br><br>
+10. Navigate to wherever you extracted the deepspeed folder in the Command Prompt:<br><br>
 ```cd c:\DeepSpeed-0.11.2``` (wherever you extracted it to)
 
-9. Modify the following files:<br>
+11. Modify the following files:<br>
 **(These modified files are included in the git-pull of AllTalk, in the DeepSpeed Windows folder and so can just be copied over the top of the exsting folders/files, but if you want to modify them yourself, please follow the below)**<br>
 
 deepspeed-0.11.2/build_win.bat - at the top of the file, add:<br><br>