Quick Run GLM-5-FP8 on Copilot+ PC Full Speed NPU Mode 2026/2027 Tutorial

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.

🧾 Hash-sum — b3d38aeb2215448148b92abe3bd9ded0 • 🗓 Updated on: 2026-06-27



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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

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