To get this model running locally in no time, utilize the built-in WSL tools.
Please follow the instructions listed below to get started.
The system automatically triggers a cloud download for all heavy weights.
The installer diagnoses your environment to deploy the most compatible profile.
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 setting up local Ollama models with custom system prompts
- Deploy GLM-5-FP8 on AMD/Nvidia GPU 5-Minute Setup
- Downloader pulling compact executive summary models for processing local file archives
- Run GLM-5-FP8 with Native FP4 Complete Walkthrough Windows FREE
- Downloader for custom text generation web UI extension models
- Install GLM-5-FP8 Windows 10 with 1M Context Easy Build
