Full Deployment Qwen3.5-35B-A3B-GPTQ-Int4 Local Guide

Full Deployment Qwen3.5-35B-A3B-GPTQ-Int4 Local Guide

Running this model locally is fastest when deployed through Docker.

Simply follow the directions outlined below.

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

The installer will automatically analyze your hardware and select the optimal configuration for your system.

🛡️ Checksum: 6d6bcbb81331db488c3fbf410952580e — ⏰ Updated on: 2026-06-28



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: minimum 16 GB for stable 8B model loading
  • 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.

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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