How to Run GLM-5-FP8 on Your PC No Admin Rights

For the fastest local setup of this model, enabling Windows Features is best.

Proceed by following the technical instructions below.

The setup auto-streams the model assets (expect a multi-GB download).

The installer diagnoses your environment to deploy the most compatible profile.

🛠 Hash code: 5d85fe76965f5a5e0b74dc23f931249d — Last modification: 2026-06-27

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Processor: 6-core 3.5 GHz minimum required
RAM: 48 GB needed to prevent memory swapping to disk
Disk: high-speed SSD 120 GB to cache model layers
GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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