Install GLM-4.5-Air-AWQ-4bit via WebGPU (Browser) For Low VRAM (6GB/8GB) 5-Minute Setup
For the fastest local setup of this model, Docker is the best choice.
Just follow the guidelines provided below.
The loader auto-caches the model archive (several GBs included).
During setup, the script automatically determines and applies the best settings tailored to your machine.
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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