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[ARTICLE · art-62835] src=pub.towardsai.net ↗ pub= topic=large-language-models verified=true sentiment=· neutral

I Tried to Run “GLM” Locally Nobody Warned Me it’s Actually Six Different Hardware Requirements…

A user attempting to run Zhipu AI's GLM-4.7-Flash locally on a 16GB Mac found it slower than comparable models, leading to the discovery that the GLM family spans models with hardware requirements differing by up to 6,000 times in size, with the flagship model needing far more RAM than typical consumer hardware provides.

read1 min views1 publishedJul 16, 2026
I Tried to Run “GLM” Locally Nobody Warned Me it’s Actually Six Different Hardware Requirements…
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GLM-4.7-Flash struggled on my 16GB Mac. Then I found out the flagship GLM model needs more memory than my entire house has RAM for combined. Here’s the honest hardware math nobody puts in one place. #

I wanted to try Zhipu AI’s GLM models locally — they’ve had real momentum in the open-weight world. So I pulled GLM-4.7-Flash, the version every guide calls the laptop-friendly one, onto my 16GB Apple Silicon Mac.

It ran. It also struggled — noticeably slower than the similarly-sized Qwen model I’d already been using on the same machine for the same kind of work. And that sent me down a rabbit hole, because I wanted to know why, and what my actual options were if I wanted a smoother GLM experience. What I found genuinely surprised me: “GLM” isn’t one hardware requirement. It’s a name stretched across models that differ by roughly six thousand times in size. Let me walk through what I found, because I think a lot of people are about to make the same mistake I did.

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