Welcome to RDK S100(P) Board repository
4. Alibaba Cloud Qwen3 model
Qwen3
Qwen31. Model Size2. Performance3. Using Qwen33.1 Running Qwen33.2 Engaging in a Dialogue3.3 Ending the Dialogue3.4 Chinese DialogueReferences
Demo Environment
Development Board: RDK S100(P) Motherboard
Qwen 3 is the latest generation of large-scale language models in the Qwen series, providing a complete set of intensive and mixed expert (MoE) models.
1. Model Size
| Model | Size |
|---|---|
| qwen3:0.6b | 523MB |
| qwen3:1.7b | 1.4GB |
| qwen3:4b | 2.6GB |
| qwen3:8b | 5.2GB |
2. Performance
3. Using Qwen3
3.1 Running Qwen3
Use the run command to start running the model. If you haven't downloaded this model before, it will automatically retrieve the model from the Ollam model library:
xxxxxxxxxxollama run qwen3:8b
3.2 Engaging in a Dialogue
xxxxxxxxxxPlease tell me how many hours there are in a day
The response time depends on your hardware configuration. Please be patient!
3.3 Ending the Dialogue
Use the shortcut Ctrl+d or /bye to end the dialogue!
3.4 Chinese Dialogue
For those without a Chinese input method, please refer to the Chinese input method switching tutorial.
Chinese Dialogue:
References
Ollama
Official Website: https://ollama.com/
GitHub: https://github.com/ollama/ollama
Qwen3
GitHub: https://github.com/QwenLM/Qwen3
Ollama Corresponding Model: https://ollama.com/library/qwen3