Launch GLM-4.5-Air-AWQ-4bit Windows 11 For Low VRAM (6GB/8GB) No-Code Guide

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The fastest way to get this model running locally is via Docker.

Follow the
step-by-step instructions below.

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Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

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  • Processor: next-gen chip for heavy context processing
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk: 150+ GB for high-context vector database storage
  • 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 Quantization AWQ 4‑bit
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