Install Qwen3.5-35B-A3B-GPTQ-Int4 on AMD/Nvidia GPU For Beginners

• anatolia
• Embeddings
• Haziran 28, 2026

To install this model locally in the shortest time, opt for Docker.

Review and follow the instructions below.

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

🧩 Hash sum → 152984a51f6ccf85a09f97b2028a0c61 — Update date: 2026-06-27 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel mode for bandwidth 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.

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