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Quick Run GLM-5.2-FP8 on AMD/Nvidia GPU with Native FP4 Windows

Quick Run GLM-5.2-FP8 on AMD/Nvidia GPU with Native FP4 Windows

Quick Run GLM-5.2-FP8 on AMD/Nvidia GPU with Native FP4 Windows

The most rapid route to a local installation of this model is through WSL2.

Review and follow the instructions below.

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

Your resources are automatically evaluated to lock in the premium configuration.

📘 Build Hash: da2d4c94b8dc18ff0728cf8d26a8a983 • 🗓 2026-06-28



  • Processor: next-gen chip for heavy context processing
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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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