How to Install Qwen3.5-35B-A3B-GPTQ-Int4 For Low VRAM (6GB/8GB)

Running this model locally is fastest when deployed through a PowerShell script.

Use the instructions provided below to complete the setup.

An automated background process downloads all required large-scale files.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

🔒 Hash checksum: 722c72a3e189cf017d30251e9e53484b • 📆 Last updated: 2026-07-06



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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