Running this model locally is fastest when deployed through a PowerShell script.
Just follow the guidelines provided below.
The process automatically pulls down gigabytes of critical model assets.
There is no manual tuning required; the builder deploys the best matching configuration.
GLM-5.2-FP8 is a next‑generation language model that combines massive scale with FP8 quantization to deliver unprecedented efficiency.
It features a parameter count of 180 billion weights, enabling it to handle complex reasoning tasks with high fidelity.
The model achieves inference speeds of up to 200 tokens per second on standard hardware, making it suitable for real‑time applications.
Its multimodal architecture supports text, code, and image inputs, allowing developers to build versatile solutions without deploying multiple models.
By leveraging advanced quantization techniques, GLM-5.2-FP8 reduces memory footprint while preserving state‑of‑the‑art performance across benchmarks.
| Spec | Value |
|---|---|
| Parameters | 180 B |
| Precision | FP8 |
| Throughput | 200 tokens/s |
| Modalities | Text, Code, Image |
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