Qwen3.5-35B-A3B-GPTQ-Int4 Locally (No Cloud) Local Guide

Qwen3.5-35B-A3B-GPTQ-Int4 Locally (No Cloud) Local Guide

03/07/2026 / 0 Comments / 26 / Managers
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Qwen3.5-35B-A3B-GPTQ-Int4 Locally (No Cloud) Local Guide

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

Review and follow the instructions below.

The setup auto-streams the model assets (expect a multi-GB download).

During setup, the script automatically determines and applies the best settings.

📊 File Hash: df610ee15b97711301192546976c2345 — Last update: 2026-06-26



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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