Steven Gonsalvez

Software Engineer

GLM-5.2 – How to Run Locally

Why CEREBRO kept it

Agent-capable model release with local execution guide.

The text below is an automated extraction of the article at https://unsloth.ai/docs/models/glm-5.2, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (unsloth.ai).

For the complete documentation index, see llms.txt. This page is also available as Markdown. GLM-5.2 - How to Run Locally Run the new GLM-5.2 model by Z.ai on local hardware! GLM-5.2 is Z.ai’s new open model, delivering SOTA performance across long-horizon coding, reasoning, and agentic tasks. With 744B parameters, 40B active parameters, and a 1M context window, it can now be run locally using Unsloth Dynamic GGUFs. GLM-5.2 is the strongest open model to date, performing on par with Claude 4.8 Opus, GPT-5.5, and Gemini 3.1 Pro across Artificial Analysis and many other benchmarks. Dynamic 1-bit

Community take

256GB RAM + 24GB VRAM requirement makes "locally runnable" impractical for nearly all users, despite closing the gap on capability.

Backlinks

Appeared in 1 briefing

Related

Shares tags: ai/llm-mechanics

Also from unsloth.ai

Only signal from unsloth.ai so far.