The fastest way to get this model running locally is via Optional Features.
Follow the guidelines below to continue.
1-click setup: the app automatically fetches the large weight files.
During setup, the script automatically determines and applies the best settings.
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 |
- Installer deploying local communication interfaces loaded with multi-role behavioral settings
- GLM-5-FP8 100% Private PC For Beginners
- Setup tool linking local models to offline home automation smart servers
- GLM-5-FP8 2026/2027 Tutorial
- Downloader pulling ultra-fast 2-bit quantizations for CPU prototyping
- How to Deploy GLM-5-FP8 PC with NPU 5-Minute Setup FREE
- Downloader pulling compact 2-bit quantization variants for rapid text synthesis prototyping
- How to Launch GLM-5-FP8 Quantized GGUF Local Guide FREE