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 →