How to Setup GLM-4.5-Air-AWQ-4bit Uncensored Edition Local Guide

Deploying this model locally is quickest when done via a simple curl command.

Follow the sequence of steps detailed below.

Everything happens automatically, including the heavy cloud asset download.

The installer will automatically analyze your hardware and select the optimal configuration.

💾 File hash: 1bcdcbb1019484de2accf769000c9c4b (Update date: 2026-06-26) Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space GPU: modern architecture (Ada Lovelace / Ampere minimum)

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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