How to Install Qwen3.5-35B-A3B-GPTQ-Int4 Locally (No Cloud) Quantized GGUF Windows

If you want the fastest local installation for this model, use Docker.

Review and follow the instructions below.

The loader auto-caches the model archive (several GBs included).

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

📤 Release Hash: c47270b723231e8d1132746d4506fb61 • 📅 Date: 2026-06-26 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: required: 16 GB absolute minimum for small models Disk Space: at least 100 GB for multiple local LLM variants Graphics: 12 GB VRAM minimum required for basic quantization

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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