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Deploy Qwen3.5-35B-A3B-GPTQ-Int4 5-Minute Setup

Deploy Qwen3.5-35B-A3B-GPTQ-Int4 5-Minute Setup

A standalone PowerShell module provides the fastest route to local installation.

Carefully read and apply the steps described below.

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

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

๐Ÿ“Ž HASH: cdff8fedb4fb08d07c59e96c228028bc | Updated: 2026-07-05



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space:70 GB free space for full FP16 weights storage
  • 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 35โ€‘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. Stateโ€‘ofโ€‘theโ€‘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 35โ€ฏB
Quantization GPTQ Int4
Architecture A3B
Context Length 8192 tokens
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