Launch Qwen3.5-35B-A3B-GPTQ-Int4 with Native FP4 Step-by-Step

Launch Qwen3.5-35B-A3B-GPTQ-Int4 with Native FP4 Step-by-Step

The most rapid route to a local installation of this model is through Docker.

Refer to the instructions below to proceed.

The smart installation system will instantly find the perfect configuration for your specific hardware.

📦 Hash-sum → 02cfc44f1c92c26d04151b36da4aaa2a | 📌 Updated on 2026-06-23
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  • Processor: high single-core performance needed for token latency
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphics: 12 GB VRAM minimum required for basic quantization

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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