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Deploy Qwen3.5-35B-A3B-GPTQ-Int4 Windows 11

Deploy Qwen3.5-35B-A3B-GPTQ-Int4 Windows 11

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

Please follow the instructions listed below to get started.

The client handles the setup, pulling gigabytes of data automatically.

To save you time, the system will automatically determine efficient resource allocation.

🛡️ Checksum: 6ad85d30632fa5e276dbaa93c5fea7ea — ⏰ Updated on: 2026-07-04



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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