Setup Qwen3.5-35B-A3B-GPTQ-Int4 on AMD/Nvidia GPU Uncensored Edition

The most rapid route to a local installation of this model is through WSL2.

Follow the step-by-step instructions below.

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

The deployment tool scans your environment and chooses the ideal parameters.

🔐 Hash sum: ff2ccc698b44b8d7b1c8cbfaa559be1f | 📅 Last update: 2026-07-04 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB for multi-modal model vision components 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.

• Downloader pulling optimized coding assistants for offline development
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