Deploying locally takes the least amount of time when executed through native OS tools.

Kindly follow the on-screen instructions below.

Hands-free setup: the system self-downloads the heavy model files.

The smart installation system will instantly find the perfect configuration.

📊 File Hash: c3307f770b41377c34a54d6995b04db0 — Last update: 2026-06-27 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB highly recommended for 26B+ GGUF models Storage:100 GB free space for HuggingFace cache folder 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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