To get this model running locally in no time, utilize the built-in WSL tools.
Please follow the instructions listed below to get started.
The client handles the setup, pulling gigabytes of data automatically.
The installer will automatically analyze your hardware and select the optimal configuration.
Qwen3.5-2B is a compact, open-source language model released by Alibaba Cloud that balances performance with efficiency for a wide range of NLP tasks. It features 2?billion parameters, enabling fast inference on consumer?grade hardware while maintaining competitive accuracy on benchmarks. The model supports a context length of 8?K tokens, allowing it to understand longer passages and generate coherent extended text. Trained on a diverse corpus of web?scale data, it excels in tasks such as question answering, summarization, and code generation, often matching larger models in quality while using far less compute. Its open-source nature and permissive licensing encourage community contributions, fostering rapid iteration and integration into commercial and research applications.
| Parameters | 2?B |
|---|---|
| Context Length | 8K tokens |
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