Deploying this model locally is quickest when done via a simple curl command.
Follow the sequence of steps detailed below.
An automated background process downloads all required large-scale files.
The deployment tool scans your environment and chooses the ideal parameters.
The GLM-4.5-Air-AWQ-4bit is a compact yet powerful language model designed for both research and production environments. It leverages Activation鈥慳ware Quantization (AWQ) to achieve high inference speed while preserving much of its original performance. With 6鈥痓illion parameters and an 8K token context window, the model can handle complex reasoning tasks and long鈥慺orm generation efficiently. The 4鈥慴it quantization reduces memory footprint and enables deployment on consumer鈥慻rade hardware without noticeable loss in accuracy. Users appreciate its balanced trade鈥憃ff 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鈥疊 |
| Context Length | 8K tokens |
| Quantization | AWQ 4鈥慴it |
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