GLM-5.2-FP8 No-Internet Version For Beginners

The most rapid route to a local installation of this model is through WSL2.

Refer to the instructions below to proceed.

An automated background process downloads all required large-scale files.

The engine benchmarks your hardware to apply the most effective operational mode.

🔐 Hash sum: 24ed2ba3d3270ca16a491aaa5fc51015 | 📅 Last update: 2026-06-27



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk Space:70 GB free space for full FP16 weights storage
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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