Show HN: Getting GLM 5.2 running on my slow computer

A new project, Colibrì, enables running the 744B-parameter GLM-5.2 Mixture-of-Experts model on consumer machines with 25 GB RAM. It achieves this by streaming experts from disk, keeping only the dense part of the model (9.9 GB) resident in RAM. The pure C engine, with zero dependencies, utilizes techniques like MLA attention, DeepSeek-V3-style routing, and native MTP speculative decoding for efficient operation, despite cold starts being slow due to disk reads.