🚀 Running Giant AI Models on Consumer Hardware
Engineer Vincenzo has introduced Colibrì—a runtime written in C that enables running Mixture-of-Experts (MoE) models as large as 1.5 TB on standard consumer hardware. By streaming weights from an NVMe drive and utilizing a three-level memory hierarchy, the GLM-5.2 model (744B parameters) was able to run using only 25 GB of RAM.
🌍 This changes the paradigm of local LLM execution, proving that working with frontier models does not necessarily require an H100 cluster; instead, smart management of the memory hierarchy is sufficient.
👤 Now, the world's most powerful models are theoretically accessible on a standard laptop with a fast SSD. Although the generation speed is currently extremely low (~0.1 tokens/sec), this technology paves the way for making ultra-powerful AI accessible without massive expenditures on GPUs.