The fastest way to get this model running locally is via Docker.

Use the instructions provided below to complete the setup.

The setup auto-downloads all needed files (several GBs).

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

📘 Build Hash: a528585ecf6f9342206fc6754c11d355 • 🗓 2026-06-23 Verify Processor: high single-core performance needed for token latency RAM: enough space for background apps and OS overhead 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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