A developer has created 'Colibri,' a lightweight pure C engine that runs the massive 744B-parameter GLM-5.2 MoE model on consumer hardware with only 25GB of RAM. By streaming sparse expert weights from disk and caching them efficiently, the system avoids the need for GPUs or complex dependencies, activating only a fraction of parameters per token.
Background
Large Language Models like GLM-5.2 typically require massive GPU clusters due to their size, making local deployment difficult for average users. This project demonstrates how architectural optimizations in MoE models can enable inference on resource-constrained CPUs.
- Source
- hackernews
- Published
- Jul 9, 2026 at 04:05 PM
- Score
- 7.0 / 10