Qwen3.5-35B-A3B-GPTQ-Int4 Locally (No Cloud) Offline Setup

Qwen3.5-35B-A3B-GPTQ-Int4 Locally (No Cloud) Offline Setup

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

Execute the commands and steps outlined below.

The installer automatically pulls the model (could be multiple GBs).

Without any user input, the software calibrates parameters for optimal hardware usage.

📄 Hash Value: 4bc2910d4a0632619125ba51edf1dd13 | 📆 Update: 2026-07-05



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space:70 GB free space for full FP16 weights 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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