Install Qwen3.5-9B-NVFP4 Uncensored Edition Local Guide

For an instant local deployment, running a pre-configured shell script is ideal.

Refer to the instructions below to proceed.

The client handles the setup, pulling gigabytes of data automatically.

The smart installation system will instantly find the perfect configuration.

📊 File Hash: cfacde65b90c480e26fad4ff2259fa25 — Last update: 2026-07-04 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: minimum 16 GB for stable 8B model loading Storage: extra room for future model updates and datasets Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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