GLM-5.2-FP8 Windows 10 For Low VRAM (6GB/8GB) 2026/2027 Tutorial

The fastest way to get this model running locally is via Docker.

Follow the sequence of steps detailed below.

Then, run the build command to initialize the Docker container.

🔧 Digest: 4ca03800912a0d1d29b771538efa7bde • 🕒 Updated: 2026-06-23 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 100 GB for multi-modal model vision components Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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