Run Qwen3.5-35B-A3B-GPTQ-Int4 Using Pinokio

Run Qwen3.5-35B-A3B-GPTQ-Int4 Using Pinokio

The most efficient approach for a local installation is leveraging Docker containers.

Carefully read and apply the steps described below.

The process automatically pulls down gigabytes of critical model assets.

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

🔧 Digest: 561d1c7dcd2d17e35a7ed275e71b65db • 🕒 Updated: 2026-06-28
  • Processor: 6-core 3.5 GHz minimum required
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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