Qwen3.5-35B-A3B-GPTQ-Int4 on Your PC One-Click Setup Offline Setup

Qwen3.5-35B-A3B-GPTQ-Int4 on Your PC One-Click Setup Offline Setup

Deploying this model locally is quickest when done via Docker.

Use the instructions provided below to complete the setup.

The installer automatically pulls the model (could be multiple GBs).

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

🔧 Digest: fd7b3da27a567acb10c5693d33ec1fed • 🕒 Updated: 2026-06-27
  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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.

Specification Value
Model Name Qwen3.5-35B-A3B-GPTQ-Int4
Parameters 35 B
Quantization GPTQ Int4
Architecture A3B
Context Length 8192 tokens
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