GLM-4.5-Air-AWQ-4bit on Copilot+ PC No-Code Guide

To get this model running locally in no time, utilize the built-in WSL tools.

Review and follow the instructions below.

The installer auto-downloads and deploys the entire model pack.

To save you time, the system will automatically determine efficient resource allocation.

🔐 Hash sum: ce5098b65e6754bec51f4d2a1d823437 | 📅 Last update: 2026-06-23 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage: extra room for future model updates and datasets Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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