Deploy Qwen3.5-9B-AWQ Full Speed NPU Mode

The shortest path to running this model is by activating Hyper-V features.

Use the instructions provided below to complete the setup.

The download manager will automatically pull several gigabytes of data.

To guarantee smooth performance, the process auto-selects the best options.

🛠 Hash code: 677a0b87029bc8600cc445d754b409c0 — Last modification: 2026-06-26
  • CPU: multi-threading optimized for fast prompt processing
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space:70 GB free space for full FP16 weights storage
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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