Launch Qwen3.5-35B-A3B-GPTQ-Int4 100% Private PC with Native FP4 Easy Build

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

Follow the guidelines below to continue.

Next, execute the setup script or run docker-compose.

🧾 Hash-sum — 3b9a988346170438086868640252167c • 🗓 Updated on: 2026-06-24 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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