Qwen3.5-35B-A3B-GPTQ-Int4 No-Code Guide

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

Kindly follow the on-screen instructions below.

1-click setup: the app automatically fetches the large weight files.

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

📊 File Hash: bcac4dc9305e16ced3b1eeccbb6e567d — Last update: 2026-06-29 Verify Processor: 6-core 3.5 GHz minimum required RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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.

• Setup script downloading pre-trained LoRA adapter weights locally
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• Script pulling specific model revisions via commit hash downloads
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• Script downloading custom face-restoration models for local post-processing
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