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How to Autostart Qwen3.5-35B-A3B-GPTQ-Int4 Full Speed NPU Mode

For the fastest local setup of this model, Docker is the best choice.

Follow the step-by-step instructions below.

No manual effort needed; the setup auto-ingests the large data.

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

🗂 Hash: 64c8c6ab22f2aa7e1d5dfecc50aa3478 • Last Updated: 2026-06-28



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: minimum 16 GB for stable 8B model loading
  • Storage:100 GB free space for HuggingFace cache folder
  • 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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