Launch Qwen3.5-35B-A3B-GPTQ-Int4 with 1M Context

Launch Qwen3.5-35B-A3B-GPTQ-Int4 with 1M Context

Launch Qwen3.5-35B-A3B-GPTQ-Int4 with 1M Context

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

Carefully read and apply the steps described below.

The setup auto-streams the model assets (expect a multi-GB download).

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

馃攳 Hash-sum: 2404fb6bc5a7aa4d7b4b691cc73eead9 | 馃晸 Last update: 2026-06-25



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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鈥慴illion 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鈥憃f鈥憈he鈥慳rt 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鈥疊
Quantization GPTQ Int4
Architecture A3B
Context Length 8192 tokens
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