1. Tutorial Introduction

Qwen3-4B-Thinking-2507 and Qwen3-4B-Instruct-2507 are large language models launched by Alibaba Tongyi Qianwen team in August 2025. In terms of performance, Qwen3-4B-Thinking-2507 significantly outperforms Qwen3 small models of the same size in complex problem reasoning ability, mathematical ability, coding ability, and multi-round function call ability. In the non-reasoning field, Qwen3-4B-Instruct-2507 comprehensively surpasses the closed-source small-size model GPT-4.1-nano in knowledge, reasoning, programming, alignment, and agency capabilities, and is close to the performance of the medium-sized Qwen3-30B-A3B (non-thinking). This model covers more long-tail knowledge of languages, has enhanced alignment with human preferences in subjective and open tasks, and can provide answers that better meet needs. The relevant paper results are "Qwen3 Technical Report".

This tutorial uses dual-card RTX 4090 resources.

2. Project Examples

Qwen3-4B-Thinking-2507

Qwen3-4B-Instruct-2507

3. Operation steps

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

2. After entering the webpage, you can start a conversation with the model

If "Model" is not displayed, it means the model is being initialized. Since the model is large, please wait about 2-3 minutes and refresh the page.

How to use

Qwen3-4B-Thinking-2507

Qwen3-4B-Instruct-2507

4. Discussion

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Citation Information

The citation information for this project is as follows:

@misc{qwen3technicalreport,
      title={Qwen3 Technical Report}, 
      author={Qwen Team},
      year={2025},
      eprint={2505.09388},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2505.09388}, 
}