Using Docker is the absolute quickest way to install this model on your local machine.
Just follow the guidelines provided below.
Hands-free setup: the system self-downloads the heavy model files.
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
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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