Qwen3.5-397B-A17B-FP8 with 1M Context

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

Make sure to follow the instructions below.

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

The script runs a quick hardware check to dynamically adjust parameters for elite speed.

💾 File hash: 46cb7acc2ed55c98d1274478fe9412e7 (Update date: 2026-07-01) Verify Processor: high single-core performance needed for token latency RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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