Launch Qwen3.5-35B-A3B-GPTQ-Int4 on Your PC No Python Required

Launch Qwen3.5-35B-A3B-GPTQ-Int4 on Your PC No Python Required

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

Refer to the instructions below to proceed.

The installer will automatically analyze your hardware and select the optimal configuration for your system.

💾 File hash: a7fa9b702b6fdd761a833018897f390e (Update date: 2026-06-23)



  • Processor: next-gen chip for heavy context processing
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Storage: extra room for future model updates and datasets
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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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