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

Use the instructions provided below to complete the setup.

The process automatically pulls down gigabytes of critical model assets.

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

📄 Hash Value: dd50de0adefd6ad74894ab0a14083c41 | 📆 Update: 2026-06-24 Verify Processor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Disk: high-speed SSD 120 GB to cache model layers 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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