# Developers Push China's Open-Weight GLM 5.2 Onto Modest Consumer Hardware

The MIT-licensed 753-billion-parameter model scores 62.1 on SWE-bench Pro and 81.0 on Terminal-Bench 2.1, and a community project now targets running it on slow local machines.

- Published: 2026-07-10T05:31:45.551Z
- Canonical: https://polylog.news/ai/2026-07-10/developers-push-china-s-open-weight-glm-5-2-onto-modest-cons
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [Show HN / GitHub (colibri)](https://github.com/JustVugg/colibri), [Let's Data Science (GLM 5.2 benchmarks)](https://letsdatascience.com/news/zai-releases-glm-52-tops-open-weight-rankings-7c27fe58)

A Hacker News project titled Getting GLM 5.2 running on my slow computer is the latest sign that Chinese open-weight models are becoming the default stack for developers who want frontier-adjacent capability without a US application program…

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