Setup Qwen3.5-35B-A3B-GPTQ-Int4 Locally via LM Studio No Python Required 2026/2027 Tutorial

Setup Qwen3.5-35B-A3B-GPTQ-Int4 Locally via LM Studio No Python Required 2026/2027 Tutorial

Using a native PowerShell script is the absolute quickest way to install this model.

Proceed by following the technical instructions below.

The installer automatically pulls the model (could be multiple GBs).

The automated script takes care of everything, tailoring the setup to your specs.

🛠 Hash code: df3a5d5f813423ad08eb43d3f299c840 — Last modification: 2026-06-29



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • 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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