Install Qwen3.5-9B-NVFP4 PC with NPU with Native FP4

Install Qwen3.5-9B-NVFP4 PC with NPU with Native FP4

To install this model locally in the shortest time, opt for a direct curl execution.

Go through the configuration rules shown below.

1-click setup: the app automatically fetches the large weight files.

The engine benchmarks your hardware to apply the most effective operational mode.

🔧 Digest: 035b49a16684627de0f88066cfd93be0 • 🕒 Updated: 2026-06-27



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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:

Parameters 9 B
Quantization NVFP4
Context Length 8K tokens
Training Data Web‑scale corpus

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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