Zero-Click Run GLM-5-FP8 on AMD/Nvidia GPU Local Guide Windows
The most rapid route to a local installation of this model is through Docker.
Simply follow the directions outlined below.
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The setup auto-downloads all needed files (several GBs).
The installer will automatically analyze your hardware and select the optimal configuration for your system.
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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