The fastest tactical way to launch this model locally is via a Docker image.
Use the instructions provided below to complete the setup.
Be patient as the system self-retrieves massive model weights dynamically.
The automated script takes care of everything, tailoring the setup to your specs.
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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