Quick Run Qwen3.5-397B-A17B-FP8 PC with NPU with Native FP4

A standalone PowerShell module provides the fastest route to local installation.

Make sure to follow the instructions below.

The loader auto-caches the model archive (several GBs included).

To save you time, the system will automatically determine efficient resource allocation.

🔒 Hash checksum: 34462a7e39a93bcde0f59b829c124983 • 📆 Last updated: 2026-07-06 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB on system drive for scratch space Graphics: CUDA Compute Capability 8.0+ required for flash-attention

The Qwen3.5-397B-A17B-FP8 is a state‑of‑the‑art large language model designed for high‑performance inference on modern hardware. It leverages a 397‑billion parameter architecture built on the A17B design, delivering superior reasoning and multilingual capabilities. The model employs FP8 quantization, which reduces memory footprint while preserving accuracy and enabling faster computations. Its extensive training on diverse datasets allows it to generate coherent text, code, and creative content across multiple domains. A concise overview of its key specifications is provided below, highlighting parameter count, context window, and precision for easy reference.

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