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README.md
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@ -33,22 +33,40 @@ Welcome to LoLLMS WebUI (Lord of Large Language Models: One tool to rule them al
Before installing LoLLMS WebUI, make sure you have the following dependencies installed:
- Python 3.10 or higher
- Git (for cloning the repository)
- [Python 3.10 or higher](https://www.python.org/downloads/release/python-3100/)
- Pip - installation depends on OS, but make sure you have it installed.
- [Git (for cloning the repository)](https://git-scm.com/downloads)
- [Visual Studio Community](https://visualstudio.microsoft.com/vs/community/) with c++ build tools (for CUDA [nvidia GPU's]) - optional for windows
- Build essentials (for CUDA [nvidia GPU's]) - optional for linux
- [Nvidia CUDA toolkit 11.7 or higher](https://developer.nvidia.com/cuda-downloads) (for CUDA [nvidia GPU's]) - optional
- [Miniconda3](https://docs.conda.io/en/latest/miniconda.html) - optional (more stable than python)
Ensure that the Python installation is in your system's PATH, and you can call it from the terminal. To verify your Python version, run the following command:
Windows:
```bash
python --version
```
Linux:
```bash
python3 --version
```
If you receive an error or the version is lower than 3.10, please install a newer version and try again.
### Installation steps
For detailed installation steps please refer to these documents:
- [Windows 10/11](./docs/usage/AdvancedInstallInstructions.md#windows-10-and-11)
- [Linux (tested on ubuntu)](./docs/usage/AdvancedInstallInstructions.md#linux)
#### Easy install
- Download the appropriate application launcher based on your platform:
For Windows: `webui.bat`
For Linux: `webui.sh`
For Linux: `c_webui.sh` - using miniconda3
- Place the downloaded launcher in a folder of your choice, for example:
Windows: `C:\ai\LoLLMS-webui`
Linux: `/home/user/ai/LoLLMS-webui`
@ -66,8 +84,8 @@ cd lollms-webui
Now create a new conda environment, activate it and install requirements
```bash
conda create -n LoLLMS-webui python=3.10
conda activate LoLLMS-webui
conda create --prefix ./env python=3.10
conda activate ./env
pip install -r requirements.txt
```
#### Using Docker