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Full Deployment GLM-5.2-FP8 Windows

The shortest path to running this model is by activating Hyper-V features.

Follow the step-by-step instructions below.

The framework seamlessly downloads the massive neural network binaries.

The installer diagnoses your environment to deploy the most compatible profile.

🧾 Hash-sum — 7d998a7f0d4c39fd4521aec252a8584e • 🗓 Updated on: 2026-06-23



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: 100 GB for multi-modal model vision components
  • 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.

SpecValue
Parameters180 B
PrecisionFP8
Throughput200 tokens/s
ModalitiesText, Code, Image
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