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GLM-5.2-FP8 on Your PC Offline Setup Windows

GLM-5.2-FP8 on Your PC Offline Setup Windows

The fastest method for installing this model locally is by using Docker.

Use the instructions provided below to complete the setup.

The setup auto-downloads all needed files (several GBs).

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

📎 HASH: 608db8f76ba634f03342385dc654b5ba | Updated: 2026-06-26



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

GLM-5.2-FP8 is a next‑generation language model that combines massive scale with FP8 quantization to deliver unprecedented efficiency.

It features a parameter count of 180 billion weights, enabling it to handle complex reasoning tasks with high fidelity.

The model achieves inference speeds of up to 200 tokens per second on standard hardware, making it suitable for real‑time applications.

Its multimodal architecture supports text, code, and image inputs, allowing developers to build versatile solutions without deploying multiple models.

By leveraging advanced quantization techniques, GLM-5.2-FP8 reduces memory footprint while preserving state‑of‑the‑art performance across benchmarks.

Spec Value
Parameters 180 B
Precision FP8
Throughput 200 tokens/s
Modalities Text, Code, Image
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