A newer version of the Streamlit SDK is available:
1.43.2
Installation
In this section, we will show you how to install XTuner.
Installation Process
We recommend users to follow our best practices for installing XTuner. It is recommended to use a conda virtual environment with Python-3.10 to install XTuner.
Best Practices
Step 0. Create a Python-3.10 virtual environment using conda.
conda create --name xtuner-env python=3.10 -y
conda activate xtuner-env
Step 1. Install XTuner.
Case a: Install XTuner via pip:
pip install -U xtuner
Case b: Install XTuner with DeepSpeed integration:
pip install -U 'xtuner[deepspeed]'
Case c: Install XTuner from the source code:
git clone https://github.com/InternLM/xtuner.git
cd xtuner
pip install -e '.[all]'
# "-e" indicates installing the project in editable mode, so any local modifications to the code will take effect without reinstalling.
Verify the installation
To verify if XTuner is installed correctly, we will use a command to print the configuration files.
Print Configuration Files: Use the command xtuner list-cfg in the command line to verify if the configuration files can be printed.
xtuner list-cfg
You should see a list of XTuner configuration files, corresponding to the ones in xtuner/configs in the source code.