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Quick Run Qwen3.5-35B-A3B-GPTQ-Int4 PC with NPU No Python Required Windows

Quick Run Qwen3.5-35B-A3B-GPTQ-Int4 PC with NPU No Python Required Windows

To install this model locally in the shortest time, opt for a direct curl execution.

Follow the guidelines below to continue.

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

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

🔗 SHA sum: ed3564c0fd03e25cb10340b23bc030cf | Updated: 2026-06-29



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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