29 Giu Quick Run GLM-5-FP8 100% Private PC with 1M Context 2026/2027 Tutorial
The fastest method for installing this model locally is by using Docker.
Follow the step-by-step instructions below.
No manual effort needed; the setup auto-ingests the large data.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
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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