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Qwen3.5-35B-A3B-GPTQ-Int4 Locally via Ollama 2 No-Internet Version Windows

Abdullah Rakib | July 1, 2026

Qwen3.5-35B-A3B-GPTQ-Int4 Locally via Ollama 2 No-Internet Version Windows

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

Follow the sequence of steps detailed below.

No manual effort needed; the setup auto-ingests the large data.

Your resources are automatically evaluated to lock in the premium configuration.

🧮 Hash-code: 763de22d54241646382c65605baf172c • 📆 2026-06-27



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: at least 100 GB for multiple local LLM variants
  • 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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Written by Abdullah Rakib




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