The fastest way to get this model running locally is via Optional Features.
Simply follow the directions outlined below.
The loader auto-caches the model archive (several GBs included).
To save you time, the system will automatically determine efficient resource allocation.
The Qwen3.5-9B-NVFP4 is a cutting鈥慹dge language model designed for high performance and efficiency. Built on a 9鈥慴illion parameter foundation, it leverages NVFP4 quantization to deliver faster inference while maintaining strong contextual understanding. Trained on a diverse web鈥憇cale 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鈥疊 |
| Quantization | NVFP4 |
| Context Length | 8K tokens |
| Training Data | Web鈥憇cale corpus |
Its optimized memory footprint and support for FP4 hardware acceleration make it particularly suitable for edge deployments and cloud鈥憇cale services.
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