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Update README.md

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Added instructions for WSL

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@@ -36,7 +36,7 @@ With this intuitive UI, you can easily manage your dataset, customize parameters
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  ### Usage
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- I recommend using a virtual environment to install the required packages. Conda preferred
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  ```
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  conda create -n llama-finetuner python=3.10
@@ -45,6 +45,12 @@ conda install -y cuda -c nvidia/label/cuda-11.7.0
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  conda install -y pytorch=1.13.1 pytorch-cuda=11.7 -c pytorch
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  ```
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  Clone the repository and install the required packages.
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  ```
 
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  ### Usage
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+ I recommend using a virtual environment to install the required packages. Conda preferred.
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  ```
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  conda create -n llama-finetuner python=3.10
 
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  conda install -y pytorch=1.13.1 pytorch-cuda=11.7 -c pytorch
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  ```
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+ On WSL, you might need to install CUDA manually by following [these steps](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&Distribution=WSL-Ubuntu&target_version=2.0&target_type=deb_local), then running the following before you launch:
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+
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+ ```
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+ export LD_LIBRARY_PATH=/usr/lib/wsl/lib
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+ ```
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+
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  Clone the repository and install the required packages.
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  ```