If you want the fastest local installation for this model, use standard pip packages.
Refer to the instructions below to proceed.
The client handles the setup, pulling gigabytes of data automatically.
The installer will automatically analyze your hardware and select the optimal configuration.
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 |
- Downloader pulling calibrated EXL2 quantizations of Llama-3.1-70B
- Zero-Click Run GLM-5-FP8 Step-by-Step FREE
- Installer pre-configuring Automatic1111 WebUI extensions and dependencies
- How to Run GLM-5-FP8 Locally via LM Studio Fully Jailbroken FREE
- Downloader pulling specialized offline translation models for LibreTranslate nodes
- GLM-5-FP8 Offline on PC with 1M Context
- Downloader pulling optimized coding assistants for offline development
- How to Autostart GLM-5-FP8 on Copilot+ PC FREE