GitHub - JustVugg/colibri: Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine β pure C, zero deps, experts streamed from disk. Tiny engine, immense model. π¦
Tiny engine, immense model. Run GLM-5.2 (744B-parameter MoE) on a consumer machine with ~25 GB of RAM β in pure C, with zero dependencies, by streaming experts from disk.
$ ./coli chat
π¦ colibrΓ¬ v1.0 β GLM-5.2 Β· 744B MoE Β· int4 Β· streaming CPU
β pronto in 32s Β· residente 9.9 GB
βΊ ciao!
β Ciao! π Come posso aiutarti oggi?
The idea
A 744B Mixture-of-Experts model activates only ~40B parameters per token β and only ~11 GB of those change from token to token (the routed experts). So:
the dense par...
Read more at github.com