Launch Qwen3.5-35B-A3B-GPTQ-Int4 Quantized GGUF

Launch Qwen3.5-35B-A3B-GPTQ-Int4 Quantized GGUF

If you want the fastest local installation for this model, use standard pip packages.

Go through the configuration rules shown below.

The process automatically pulls down gigabytes of critical model assets.

The automated script takes care of everything, tailoring the setup to your specs.

🖹 HASH-SUM: 483e3fd2c4d6e4bb0403c979f88efc85 | 📅 Updated on: 2026-06-24



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Storage: extra room for future model updates and datasets
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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