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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. 🐦

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 🐦 colibrΓ¬ v1.0 β€” GLM-5.2 Β· 744B MoE Β· int4 Β· streaming CPU βœ“ pronto in 32s Β· residente 9.9 GB β€Ί ciao! β—† Ciao! 😊 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...

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