GLM-5.2-FP8 Windows

The fastest method for installing this model locally is by using Docker.

Refer to the action plan below to initialize the model.

The loader auto-caches the model archive (several GBs included).

The installer will automatically analyze your hardware and select the optimal configuration.

📄 Hash Value: 71776bab501335ddf80a976bdceab2b1 | 📆 Update: 2026-07-05 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: enough space for background apps and OS overhead Disk Space: at least 100 GB for multiple local LLM variants Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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.

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