Setup Qwen3.5-35B-A3B-GPTQ-Int4 PC with NPU Full Speed NPU Mode Step-by-Step

Deploying this model locally is quickest when done via Docker.

Use the instructions provided below to complete the setup.

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

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

🔍 Hash-sum: c5858a3f0b2413f5c21805a10390dd73 | 🕓 Last update: 2026-06-26 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

The Qwen3.5-35B-A3B-GPTQ-Int4 is a large language model delivering advanced reasoning and multilingual capabilities. Built on the A3B architecture, it leverages a 35‑billion parameter foundation to achieve high performance across diverse tasks. By employing GPTQ Int4 quantization, the model maintains a compact footprint while preserving much of its original accuracy. State‑of‑the‑art inference efficiency is realized through optimized kernel implementations and reduced memory bandwidth requirements. The following table summarizes key technical specifications for quick reference.

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