Run Qwen3.5-397B-A17B-FP8 5-Minute Setup

If you want the fastest local installation for this model, use standard pip packages.

Refer to the action plan below to initialize the model.

The engine will automatically fetch large dependencies in the background.

The deployment tool scans your environment and chooses the ideal parameters.

🛠 Hash code: 8e88d919f1068d998ea673ff69dee7a1 — Last modification: 2026-06-29 Verify CPU: 8-core / 16-thread recommended for orchestration 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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