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How to Run GLM-5-FP8 Locally (No Cloud) No Admin Rights 5-Minute Setup
The most efficient approach for a local installation is leveraging Docker containers.
Use the instructions provided below to complete the setup.
The loader auto-caches the model archive (several GBs included).
Once launched, the wizard detects your specs to configure the model for maximum efficiency.
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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