June 29, 2026

Qwen3.5-397B-A17B-FP8 Windows

Qwen3.5-397B-A17B-FP8 Windows

Using Docker is the absolute quickest way to install this model on your local machine.

Refer to the instructions below to proceed.

The system automatically triggers a cloud download for all heavy weights.

During setup, the script automatically determines and applies the best settings tailored to your machine.

🧩 Hash sum → 77478630169278ec541d00bb6643ecd5 — Update date: 2026-06-27
  • CPU: multi-threading optimized for fast prompt processing
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk: 150+ GB for high-context vector database storage
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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.

Spec Value
Parameters 397B
Architecture A17B
Precision FP8
Context Length 8K tokens
Training Data Web‑scale corpora
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