Welcome to RDK X5 Board repository
4.Alibaba-Cloud-Qwen3-Model
Qwen3
Qwen31. Model Scale2. Performance3. Using Qwen33.1. Running Qwen33.2. Having a Conversation3.3. Ending the Conversation3.4. Chinese ConversationReferences
Note: Due to performance limitations, the RDK X5 4GB version needs to run a small parameter version.
Qwen 3 is the latest generation of large language models in the Qwen series, offering a full suite of dense and mixture-of-experts (MoE) models.
1. Model Scale
| 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 the model. If you have not downloaded this model before, it will be automatically pulled from the Ollama model library:
ollama run qwen3:8b
3.2. Having a Conversation
xxxxxxxxxxPlease tell me how many hours there are in a day
The response time depends on the hardware configuration, please be patient!
3.3. Ending the Conversation
Use the Ctrl+d shortcut or /bye to end the conversation!
3.4. Chinese Conversation
If you don't have a Chinese input method, you can refer to the tutorial on switching Chinese input methods.
Chinese conversation:
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