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Qwen3.5-35B-A3B-GPTQ-Int4 Using Pinokio No-Code Guide

07/02/2026 · Inksilopedia

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The fastest way to get this model running locally is via Optional Features.

Make sure you implement the steps mentioned below.

All large files and heavy weights are downloaded automatically by the script.

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

🔒 Hash checksum: df201a2302aa8df06ddf0d19fd9e6208 • 📆 Last updated: 2026-06-27

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Processor: high single-core performance needed for token latency
RAM: 32 GB or higher for smooth 32k context lengths
Disk Space: free: 80 GB on system drive for scratch space
GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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