Qwen3.5-9B-NVFP4 Zero Config

The fastest way to get this model running locally is via Optional Features.

Use the instructions provided below to complete the setup.

Everything happens automatically, including the heavy cloud asset download.

An automated hardware sweep ensures the system will select the best tuning parameters.

🔗 SHA sum: 0c9b499d3c425267616c72dfd5c6f29f | Updated: 2026-06-26



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: enough space for background apps and OS overhead
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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