Qwen3-FineTuning-Playground Overview
Qwen3-FineTuning-Playground is an open-source codebase dedicated to fine-tuning the Qwen3 family of large language models. The project was created by community developers to provide researchers and engineers with a set ofModular and easy to expandof model fine-tuning solutions.
Core features
- Comprehensive functionality: Supports multiple training paradigms such as supervised fine-tuning (SFT), reinforcement learning (RL), and knowledge distillation
- technologically advanced: Integrate cutting-edge algorithms such as PPO and ORPO, and support efficient fine-tuning techniques such as LoRA
- modular design: Divide different functions into separate directories, e.g. Supervised_FineTuning, RL_FineTuning, etc.
- easy-to-use: Provides command line parameter configuration and end-to-end tutorials to lower the barrier to use
This answer comes from the articleQwen3-FineTuning-Playground: a ready-to-use code base for fine-tuning Qwen3's big models.The
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