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erew123 authored and GitHub committed 2023-12-17 12:18:57 +00:00
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@@ -203,23 +203,23 @@ DeepSpeed Version 11.2 with CUDA 11.8 or 12.1 - Installation Instructions:
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> 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. 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 12.1 into your Python 3.11 environment e.g:<br><br> 6. 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> ```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> ```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> 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> ```conda install pytorch==2.1.0 torchvision==0.16.0 torchaudio==2.1.0 pytorch-cuda=11.8 -c pytorch -c nvidia```<br>
7. Edit your Windows environment variables 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> 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>
```set CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1```<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> ```set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1```<br>
rr<br> or<br>
```set CUDA_HOME=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8```<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> ```set CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8```<br>
8. Navigate to your deepspeed folder in the Command Prompt:<br><br> 8. Navigate to wherever you extracted the deepspeed folder in the Command Prompt:<br><br>
```cd c:\deepspeed``` (wherever you extracted it to) ```cd c:\DeepSpeed-0.11.2``` (wherever you extracted it to)
9. Modify the following files:<br> 9. Modify the following files:<br>
**(These modified files are included in the git-pull of AllTalk, in the DeepSpeed Windows folder but if you want to modify them yourself, please follow the below)**<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> deepspeed-0.11.2/build_win.bat** - at the top of the file, add:<br><br>
```set DS_BUILD_EVOFORMER_ATTN=0``` ```set DS_BUILD_EVOFORMER_ATTN=0```