How to Run GLM-4.5-Air-AWQ-4bit Quantized GGUF 2026/2027 Tutorial
Running this model locally is fastest when deployed through a PowerShell script.
Follow the step-by-step instructions below.
An automated background process downloads all required large-scale files.
The installer will automatically analyze your hardware and select the optimal configuration.
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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