How to Launch Qwen3.5-35B-A3B-GPTQ-Int4 Locally via Ollama 2 Full Speed NPU Mode

To install this model locally in the shortest time, opt for Docker.

Review and follow the instructions below.

The installer auto-downloads and deploys the entire model pack.

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

🔒 Hash checksum: bb2b559ae1c4fe8bc48b02f4d64b5574 • 📆 Last updated: 2026-06-23



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphics: 12 GB VRAM minimum required for basic quantization

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