For the fastest local setup of this model, Docker is the best choice.
Follow the sequence of steps detailed below.
The installer automatically pulls the model (could be multiple GBs).
The smart installation system will instantly find the perfect configuration for your specific hardware.
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 |
- Downloader pulling compact 2-bit quantization variants for rapid text prototyping
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- Downloader pulling custom sentiment mapping checkpoints for offline data intelligence systems
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- Setup tool installing LocalAI server layers with complete DeepSeek-Coder support
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- Setup tool installing LocalAI server layers with complete DeepSeek-Coder support
- Zero-Click Run GLM-5.2-FP8 Locally (No Cloud) Step-by-Step