Launch Qwen3.5-35B-A3B-GPTQ-Int4 Locally via LM Studio Full Method

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

Follow the step-by-step instructions below.

Hands-free setup: the system self-downloads the heavy model files.

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

📤 Release Hash: 60e9814867de8bb12b660bd5fd3b252c • 📅 Date: 2026-06-26 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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