GLM-5-FP8 on Copilot+ PC Local Guide

The fastest way to get this model running locally is via Docker.

Use the instructions provided below to complete the setup.

The loader auto-caches the model archive (several GBs included).

There is no manual tuning required; the builder will automatically deploy the best matching configuration.

🔐 Hash sum: 876a097f4174546741a54cc1ad81250d | 📅 Last update: 2026-06-25 Verify Processor: next-gen chip for heavy context processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk: 150+ GB for high-context vector database storage GPU: high memory bandwidth GPU for next-gen local AI pipeline

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.

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