GLM-5-FP8 on AMD/Nvidia GPU One-Click Setup Offline Setup

GLM-5-FP8 on AMD/Nvidia GPU One-Click Setup Offline Setup

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

Use the instructions provided below to complete the setup.

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

An automated hardware sweep ensures the system will select the best tuning parameters.

📦 Hash-sum → 09e4d46ebe0c59c79c5cf6bdee0891d9 | 📌 Updated on 2026-07-07



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: at least 100 GB for multiple local LLM variants
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

GLM-5-FP8 is a next-generation language model that leverages *FP8* quantization to deliver high performance on modern hardware. It maintains accuracy and speed while significantly reducing memory usage. The model sets new benchmarks in tasks such as MMLU and Commonsense Reasoning, achieving state-of-the-art results. Its refined transformer block incorporates sparse attention mechanisms for efficient processing of long sequences. A concise overview of its technical specifications is provided below.

Parameter Count 176 B
Context Length 8 K tokens
Quantization FP8
Training FLOPs ≈1.5×10^18
Peak Throughput ≈2 T tokens/s on GPU clusters
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