Full Deployment Qwen3.5-35B-A3B-GPTQ-Int4 No-Internet Version Local Guide

Full Deployment Qwen3.5-35B-A3B-GPTQ-Int4 No-Internet Version Local Guide

If you want the fastest local installation for this model, use standard pip packages.

Simply follow the directions outlined below.

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

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

🔐 Hash sum: 897cc143e44a12fbe211e3c585449c24 | 📅 Last update: 2026-06-28



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: enough space for background apps and OS overhead
  • Disk Space: 100 GB for multi-modal model vision components
  • 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.

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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