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Qwen3.5-35B-A3B-GPTQ-Int4 One-Click Setup Direct EXE Setup

Qwen3.5-35B-A3B-GPTQ-Int4 One-Click Setup Direct EXE Setup

If you want the fastest local installation for this model, use Docker.

Follow the sequence of steps detailed below.

During setup, the script automatically determines and applies the best settings tailored to your machine.

🛠 Hash code: a367f4e877db412073974e63065bfbf6 — Last modification: 2026-06-24



  • Processor: next-gen chip for heavy context processing
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk: 150+ GB for high-context vector database storage
  • 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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