Running this model locally is fastest when deployed through Docker.
Make sure to follow the instructions below.
The setup auto-streams the model assets (expect a multi-GB download).
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
GLM-5.2-FP8 is a next鈥慻eneration language model that combines massive scale with FP8 quantization to deliver unprecedented efficiency.
It features a parameter count of 180鈥痓illion weights, enabling it to handle complex reasoning tasks with high fidelity.
The model achieves inference speeds of up to 200鈥痶okens per second on standard hardware, making it suitable for real鈥憈ime 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鈥憃f鈥憈he鈥慳rt performance across benchmarks.
| Spec | Value |
|---|---|
| Parameters | 180鈥疊 |
| Precision | FP8 |
| Throughput | 200 tokens/s |
| Modalities | Text, Code, Image |
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