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

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

If you want the fastest local installation for this model, use Docker.

Follow the guidelines below to continue.

As a result, you get a zero-latency AI workstation that seamlessly handles complex reasoning, programming tasks, and everyday queries.

🔐 Hash sum: e9c3155ce19ed9c332bbf3c48283e846 | 📅 Last update: 2026-06-27



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: enough space for background apps and OS overhead
  • Disk Space: 100 GB for multi-modal model vision components
  • 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.

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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