Deploy Qwen3.5-35B-A3B-GPTQ-Int4 on Copilot+ PC Windows

July 1, 2026

Deploy Qwen3.5-35B-A3B-GPTQ-Int4 on Copilot+ PC Windows

For an instant local deployment, running a pre-configured shell script is ideal.

Use the instructions provided below to complete the setup.

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

The setup file includes a feature that instantly optimizes all configurations.

📊 File Hash: 656fe5855e502936aa15b18260869528 — Last update: 2026-06-30
  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Storage: extra room for future model updates and datasets
  • 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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