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Run GLM-5.2-FP8

Run GLM-5.2-FP8

Running this model locally is fastest when deployed through a PowerShell script.

Please follow the instructions listed below to get started.

The setup auto-streams the model assets (expect a multi-GB download).

The script runs a quick hardware check to dynamically adjust parameters for elite speed.

🗂 Hash: 6379a24954174181ee38200b64fc9b7b • Last Updated: 2026-06-28
  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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