GLM-5.2

Runs on your device

Zhipu AI · Jun 2026

Zhipu's GLM-5.2 - a 753B mixture-of-experts with a 1M-token context. For very large workstations: a big graphics card and 384 GB or more of main memory, experts in main memory.

Context
1M tokens
Smallest download
253.9 GB
Runs from
384 GB RAM
License
MIT
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Will GLM-5.2 run on your machine?

This is the same sizing the app uses - not a marketing estimate.

753B (MoE)253.9 GB downloadToo big for this machine
753B (MoE)436.5 GB downloadToo big for this machine

On Apple Silicon, system memory is also graphics memory - pick "None / integrated / Apple Silicon" and read the bars against your Mac's memory. The app checks your real hardware before every download.

Variants & sizes

VariantDownloadQuantizationNeedsApple Silicon
753B (MoE)MoE253.9 GBUD-Q2_K_XL384 GB RAMMetal (GGUF)
753B (MoE)MoE436.5 GBUD-Q4_K_S512 GB RAMMetal (GGUF)

The app picks the right variant for your machine and verifies every download. Model files come straight from their official repositories, pinned to exact revisions.

License

GLM-5.2 is released under the MIT - read the terms. The weights download to your machine and stay there; Your Own AI adds no accounts, tracking, or lock-in on top.

Frequently asked questions

Can I run GLM-5.2 offline?
Yes. GLM-5.2 is a downloadable model: with Your Own AI it runs entirely on your computer, works with no internet connection, and your conversations never leave your device.
What hardware does GLM-5.2 need?
The smallest variant (753B (MoE), a 253.9 GB download) runs on a machine with 384 GB of memory. Larger variants want more memory or a graphics card - the interactive checker on this page grades every variant against your hardware, using the same logic as the app.
Is GLM-5.2 free to use?
The model weights are released under the MIT license and download at no charge. Your Own AI itself is free and open source for local use.
How much context does GLM-5.2 support?
1M tokens of context.

Run GLM-5.2 in two clicks

Download Your Own AI, pick GLM-5.2, and the app sizes it to your hardware. Private by architecture - no account needed for local use.