How to Install Qwen3.5-35B-A3B-GPTQ-Int4 Windows 11 For Low VRAM (6GB/8GB) Step-by-Step

Running this model locally is fastest when deployed through Docker.

Make sure to follow the instructions below.

Then, execute the docker-compose up command to launch the model.

📊 File Hash: 8e792bc606eb8cc21560429a902ec1b4 — Last update: 2026-06-23 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: enough space for background apps and OS overhead 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.

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