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Colibrì proof-of-concept runs massive 1.5TB AI model on 25GB RAM

An Italian engineer named Vincenzo, also known as JustVugg, has developed a proof-of-concept called Colibrì that enables a 1.5-TB, 744-billion-parameter GLM-5.2 AI model to run on a modest CPU with only 25GB of RAM. While the current performance is extremely slow at 0.05-0.1 tokens per second, making it impractical for real-time use, the approach of loading model components in slices to RAM shows promise for local AI setups. This method could potentially allow high-quality AI models, comparable to those from Anthropic and OpenAI, to be accessible on consumer hardware. AI

IMPACT Demonstrates a novel technique for running large AI models on consumer hardware, potentially lowering the barrier to entry for local AI setups.

RANK_REASON Proof-of-concept for running a large AI model on limited hardware.

Read on Mastodon — fosstodon.org →

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

Colibrì proof-of-concept runs massive 1.5TB AI model on 25GB RAM

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0 / 100
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Newsworthiness bucket
Research
Proof-of-concept for running a large AI model on limited hardware.
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2 independent sources
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Topics
model release, infra
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High
Clearly on-topic for AI-industry coverage.
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89 days old
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COVERAGE [2]

  1. Tom's Hardware TIER_1 English(EN) · Bruno Ferreira ·

    Colibrì proof-of-concept gains frontier-level 1.5-TB AI model — novel approach runs on only 25GB of RAM and shows promise for local AI setups

    Colibrì proof-of-concept gets a frontier-level AI model running on only 25 GB of RAM and a modest CPU

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

    Colibrì proof-of-concept gains frontier-level 1.5-TB AI model — novel approach runs on only 25GB of RAM and shows promise for local AI setups Colibrì proof-of-c

    Colibrì proof-of-concept gains frontier-level 1.5-TB AI model — novel approach runs on only 25GB of RAM and shows promise for local AI setups Colibrì proof-of-concept gets a frontier-level AI model running on only 25 GB of RAM and a modest CPU https://www. tomshardware.com/tech-i…