How to Run Qwen3.5-35B-A3B-GPTQ-Int4 Locally via Ollama 2 No-Internet Version Offline Setup

To install this model locally in the shortest time, opt for a direct curl execution.

Simply follow the directions outlined below.

The loader auto-caches the model archive (several GBs included).

To guarantee smooth performance, the process auto-selects the best options.

🛠 Hash code: ea54964b5221dea80c761ed5acbba4a1 — Last modification: 2026-07-04
  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Storage: extra room for future model updates and datasets
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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