Homebrew offers the quickest path to setting up this model locally.
Use the instructions provided below to complete the setup.
The engine will automatically fetch large dependencies in the background.
The setup file includes a feature that instantly optimizes all configurations.
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 configuring multi-channel audio source isolation models for studio production pipelines
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- Downloader pulling custom upscaler pipelines like SUPIR for local forge
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- Downloader pulling ultra-dense EXL2 quantizations of complex visual-language systems
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