How to Autostart Qwen3.5-35B-A3B-GPTQ-Int4 Offline on PC Full Speed NPU Mode Full Method Windows

How to Autostart Qwen3.5-35B-A3B-GPTQ-Int4 Offline on PC Full Speed NPU Mode Full Method Windows

The fastest way to get this model running locally is via Optional Features.

Refer to the instructions below to proceed.

The setup auto-streams the model assets (expect a multi-GB download).

The installer will automatically analyze your hardware and select the optimal configuration.

🔍 Hash-sum: 678ff4a3f8932326f31d11b70edde631 | 🕓 Last update: 2026-06-24



  • Processor: high single-core performance needed for token latency
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: at least 100 GB for multiple local LLM variants
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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