Deploy GLM-4.5-Air-AWQ-4bit Windows 10 One-Click Setup

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Deploy GLM-4.5-Air-AWQ-4bit Windows 10 One-Click Setup

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

Use the instructions provided below to complete the setup.

The setup auto-streams the model assets (expect a multi-GB download).

The installer diagnoses your environment to deploy the most compatible profile.

📡 Hash Check: 230fb3ffa5553df86c4ec253d348f7c3 | 📅 Last Update: 2026-06-26



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphics: 12 GB VRAM minimum required for basic quantization

The GLM-4.5-Air-AWQ-4bit is a compact yet powerful language model designed for both research and production environments. It leverages Activation‑aware Quantization (AWQ) to achieve high inference speed while preserving much of its original performance. With 6 billion parameters and an 8K token context window, the model can handle complex reasoning tasks and long‑form generation efficiently. The 4‑bit quantization reduces memory footprint and enables deployment on consumer‑grade hardware without noticeable loss in accuracy. Users appreciate its balanced trade‑off between size, speed, and capability, making it ideal for developers seeking a lightweight yet versatile AI assistant. Below is a quick overview of its key technical specifications.

Parameters 6 B
Context Length 8K tokens
Quantization AWQ 4‑bit
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