How to Deploy Qwen3.5-35B-A3B-GPTQ-Int4 on Copilot+ PC Uncensored Edition Full Method Windows

How to Deploy Qwen3.5-35B-A3B-GPTQ-Int4 on Copilot+ PC Uncensored Edition Full Method Windows

For the fastest local setup of this model, enabling Windows Features is best.

Refer to the instructions below to proceed.

1-click setup: the app automatically fetches the large weight files.

The smart installation system will instantly find the perfect configuration.

🛡️ Checksum: 649a83a85ecfb0153dc9df26ed261991 — ⏰ Updated on: 2026-06-26



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • 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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