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Developer runs massive 744B GLM-5.2 model on consumer hardware

A developer has created a C-based engine called Colibri that allows the large GLM-5.2 model, with 744 billion parameters, to run on consumer hardware with approximately 25 GB of RAM. This is achieved by streaming model experts from disk on demand, rather than requiring them all to be loaded into memory. The engine is a single C file and aims to make powerful AI models accessible on less powerful machines. AI

IMPACT Enables running large language models on consumer hardware, potentially democratizing access to advanced AI capabilities.

RANK_REASON A single developer's project to run a large model on consumer hardware, not a release from a frontier lab.

Read on HN — claude-code stories →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Developer runs massive 744B GLM-5.2 model on consumer hardware

COVERAGE [2]

  1. HN — claude-code stories TIER_1 English(EN) · vforno ·

    Show HN: Getting GLM 5.2 running on my slow computer

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Show HN: Getting GLM 5.2 running on my slow computer https://github.com/JustVugg/colibri # HackerNews # Tech # AI

    Show HN: Getting GLM 5.2 running on my slow computer https://github.com/JustVugg/colibri # HackerNews # Tech # AI