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Colibri engine enables large LLMs on 25GB RAM machines

Colibri is a new open-source AI engine designed to run large language models, such as GLM-5.2 (a 744B parameter Mix of Experts model), on consumer-grade hardware with as little as 25GB of RAM. Developed in pure C with no dependencies, Colibri achieves this by streaming model experts from disk. This innovation makes powerful LLMs more accessible for users with limited computational resources. AI

IMPACT Makes powerful LLMs more accessible to users with limited hardware resources.

RANK_REASON The cluster describes a new software tool for running AI models, not a core AI model release or research.

Read on Mastodon — sigmoid.social →

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

Colibri engine enables large LLMs on 25GB RAM machines

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0 / 100
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Tool
The cluster describes a new software tool for running AI models, not a core AI model release or research.
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2 independent sources
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infra, model release
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High
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72 days old
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COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    # TIL about # Colibri , a tiny # AI engine capable of running big # LLM models (GLM-5.2, 744B MoE) on a machine with as little as 25GB # RAM : https:// github.c

    # TIL about # Colibri , a tiny # AI engine capable of running big # LLM models (GLM-5.2, 744B MoE) on a machine with as little as 25GB # RAM : https:// github.com/JustVugg/colibri

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Colibri: a tiny open-source Engine to run GLM-5.2 (744B-parameter Mix of Experts) on a Consumer Machine with ~25 GB of RAM — in pure C, with zero dependencies,

    Colibri: a tiny open-source Engine to run GLM-5.2 (744B-parameter Mix of Experts) on a Consumer Machine with ~25 GB of RAM — in pure C, with zero dependencies, by streaming experts from disk. # AI # LLM https:// github.com/JustVugg/colibri