Run GLM-5.2 on a Slow PC with colibrì (Disk-Streamed MoE)
colibrì runs GLM-5.2 (744B MoE) on consumer hardware by keeping ~9.9GB of dense int4 weights in RAM and streaming routed experts from a ~370GB int4 container on disk. It uses an LRU expert cache, MLA-style compressed KV caching, and native MTP speculative decoding to improve interaction speed once caches are warm.