Launch GLM-5.2-FP8

To install this model locally in the shortest time, opt for Docker.

Please follow the instructions listed below to get started.

No manual effort needed; the setup auto-ingests the large data.

During setup, the script automatically determines and applies the best settings tailored to your machine.

🛠 Hash code: 8d8b03efd194271f4debc31816e71dd0 — Last modification: 2026-06-28 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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.

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