Deploy Qwen3.5-9B-NVFP4 on Copilot+ PC Dummy Proof Guide

Using Docker is the absolute quickest way to install this model on your local machine.

Use the instructions provided below to complete the setup.

No manual effort needed; the setup auto-ingests the large data.

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

📎 HASH: ababefab75c15925225d30636006af3c | Updated: 2026-06-24 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

The Qwen3.5-9B-NVFP4 is a cutting‑edge language model designed for high performance and efficiency. Built on a 9‑billion parameter foundation, it leverages NVFP4 quantization to deliver faster inference while maintaining strong contextual understanding. Trained on a diverse web‑scale corpus, the model excels in reasoning, coding, and multilingual tasks, offering developers a versatile tool for production environments. Key specifications are shown below:

Its optimized memory footprint and support for FP4 hardware acceleration make it particularly suitable for edge deployments and cloud‑scale services.

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