How to Autostart GLM-4.5-Air-AWQ-4bit Locally (No Cloud) Windows

Using the Windows Package Manager is the quickest way to trigger the setup.

Follow the step-by-step instructions below.

All large files and heavy weights are downloaded automatically by the script.

The initial setup handles the heavy lifting, fine-tuning the environment for your device.

📤 Release Hash: 8318d437dad6aee968a15086a5f89fbf • 📅 Date: 2026-06-26

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Processor: high single-core performance needed for token latency
RAM: minimum 16 GB for stable 8B model loading
Disk Space: at least 100 GB for multiple local LLM variants
GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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