1. Tutorial Introduction

Qwen2.5-Coder is an AI assistant developed by Alibaba Cloud in 2024. The relevant technical report is Qwen2.5-Coder Technical Report One of the core functions of the Qwen2.5-Coder series is the code generation capability, which can generate high-quality, logically clear and grammatically compliant code snippets according to prompts. The supported programming languages include Python, Java, C++, etc., and also supports some niche languages such as Haskell and Racket. In addition, Qwen2.5-Coder also provides the Artifacts function to help users quickly build and implement various visual projects, such as websites, small games and data charts. In terms of mini-game development, Qwen2.5-Coder can generate game code according to game rules, picture style and user experience requirements. Developers can customize and optimize on this basis and quickly launch their own game works.

The Qwen2.5-Coder series is a major upgrade of its predecessor CodeQwen1.5, and the series includes six models: Qwen2.5-Coder-(0.5B/1.5B/3B/7B/14B/32B). As a code-specific model, Qwen2.5-Coder is built on the Qwen2.5 architecture and continues to be pre-trained on a massive corpus of more than 5.5 trillion tokens. Through meticulous data cleaning, scalable synthetic data generation, and balanced data mixing, Qwen2.5-Coder demonstrates impressive code generation capabilities while retaining general and mathematical skills. These models have been evaluated on a wide range of code-related tasks, achieving state-of-the-art (SOTA) performance on more than 10 benchmarks, including code generation, completion, reasoning, and repair, consistently outperforming large models of the same model size.

💻 Powerful: Qwen2.5-Coder-32B-Instruct has become the current SOTA open source code model, which is comparable to GPT-4o in coding ability. While showing strong and comprehensive coding ability, it also has good general ability and mathematical ability;

📚 Diversity: Based on the previously open-source 1.5B/7B sizes, this version brings four model sizes: 0.5B/3B/14B/32B. So far, Qwen2.5-Coder has covered six mainstream model sizes to meet the needs of different developers;

🛠 Practicality: The researchers explored the practicality of Qwen2.5-Coder from two scenarios: code assistant and artifacts, and demonstrated the potential application of Qwen2.5-Coder in real-world scenarios through some examples;

本教程使用 Qwen2.5-Coder-7B-Instruct 作为演示，使用 RTX 4090 启动即可。

2. Operation steps

1. After starting the container, click the API address to enter the Web interface

2. Once you enter the webpage, you can start a conversation with the model!

Exchange and discussion

🖌️ If you see a high-quality project, please leave a message in the background to recommend it! In addition, we have also established a tutorial exchange group. Welcome friends to scan the QR code and remark [SD Tutorial] to join the group to discuss various technical issues and share application effects↓