Deploy Qwen3.5-35B-A3B-GPTQ-Int4 Locally via Ollama 2 Fully Jailbroken
June 29, 2026 by Ivan Snell
The fastest way to get this model running locally is via Docker.
Use the instructions provided below to complete the setup.
No manual effort needed; the setup auto-ingests the large data.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
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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