GLM-4.5-Air-AWQ-4bit on Your PC Step-by-Step

For an instant local deployment, running a pre-configured shell script is ideal.

Check out the detailed setup guide below to begin.

The engine will automatically fetch large dependencies in the background.

An automated hardware sweep ensures the system will select the best tuning parameters.

📘 Build Hash: 2a179e3e99abc9cbf217a9fcca25941d • 🗓 2026-07-05 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: required: 16 GB absolute minimum for small models Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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.

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