How to Autostart Qwen3.5-35B-A3B-GPTQ-Int4 Offline on PC

The shortest path to running this model is by activating Hyper-V features.

Please follow the instructions listed below to get started.

Be patient as the system self-retrieves massive model weights dynamically.

The engine benchmarks your hardware to apply the most effective operational mode.

🔒 Hash checksum: 3e65368f5c75d9dbf6f3b00e4c178209 • 📆 Last updated: 2026-06-27 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: enough space for background apps and OS overhead Disk Space: at least 100 GB for multiple local LLM variants 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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