Environment Configuration Steps
Preparing to run Qwen3-FineTuning-Playground requires the following key steps to be completed:
- Project Clone: Getting the repository via the git command
git clone https://github.com/Muziqinshan/Qwen3-FineTuning-Playground.git cd Qwen3-FineTuning-Playground
- Python Environment Creation: It is recommended to use conda to create a standalone environment
conda create -n qwen3_ft python=3.10 conda activate qwen3_ft
- Dependent Installation: Install all necessary dependencies in one click
pip install -r requirements.txt
caveat
- Python version 3.10 is highly recommended for best compatibility!
- The installation process may require configuring the appropriate pip source depending on the network environment
- GPU users need to make sure that the corresponding version of the CUDA toolkit is installed.
This answer comes from the articleQwen3-FineTuning-Playground: a ready-to-use code base for fine-tuning Qwen3's big models.The
May not be reproduced without permission:AI productivity tools " How do I prepare my environment for model fine-tuning using Qwen3-FineTuning-Playground?
