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User struggles to run Zhipu AI's GLM models locally due to hidden hardware demands

An individual attempted to run Zhipu AI's GLM models locally on a 16GB Apple Silicon Mac, finding that the GLM-4.7-Flash version, marketed as laptop-friendly, performed noticeably slower than a similarly sized Qwen model. Further investigation revealed that the "GLM" name encompasses a range of models with vastly different hardware requirements, with the flagship GLM model demanding significantly more memory than available on typical consumer hardware. AI

IMPACT Highlights the significant hardware requirements for running advanced LLMs locally, impacting user adoption and infrastructure planning.

RANK_REASON User experience report on running an existing model locally, highlighting infrastructure and hardware challenges.

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User struggles to run Zhipu AI's GLM models locally due to hidden hardware demands

COVERAGE [1]

  1. Towards AI TIER_1 English(EN) · Ashish Nishad ·

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

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://pub.towardsai.net/i-tried-to-run-glm-locally-nobody-warned-me-its-actually-six-different-hardware-requirements-485b885937ac?source=rss----98111c9905da---4"><img src="https://cdn-images-1.medium.com/max/26…