If you need a near-instant local setup, just fetch files via a basic curl request.
Execute the commands and steps outlined below.
The engine will automatically fetch large dependencies in the background.
The installer diagnoses your environment to deploy the most compatible profile.
The Qwen3.5-9B-AWQ is a 9‑billion parameter language model designed for balanced performance and inference efficiency. It leverages Activation‑aware Quantization (AWQ) to reduce memory footprint while preserving high accuracy on a wide range of tasks. The model supports an extended context length of 8K tokens, enabling it to handle longer documents and complex reasoning chains. Trained on diverse multilingual data, it excels in code generation, dialogue, and factual QA across multiple languages. A compact yet powerful option for developers who need fast inference on consumer‑grade hardware. Key technical specifications are summarized below:
| Spec | Value |
|---|---|
| Parameters | 9 B |
| Quantization | AWQ (4‑bit) |
| Context Length | 8K tokens |
| Primary Use‑cases | Code, chat, QA |
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