Deploy GLM-4.5-Air-AWQ-4bit Windows 11

If you need a near-instant local setup, just fetch files via a basic curl request.

Proceed by following the technical instructions below.

The tool automatically synchronizes and downloads the model database.

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

🛡️ Checksum: d3c65379ab59cb6001855d20163a0881 — ⏰ Updated on: 2026-06-28



  • Processor: next-gen chip for heavy context processing
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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