colibri

Based on the available evidence, colibri is best treated as a high-attention local inference proof of concept and engineering experiment, not a broadly validated general-purpose inference stack. The adoption verdict is cautious: X reposts and media mentions strongly show attention around the “744B model on 25GB RAM” claim, but that is heat proof, not the same as usability proof or repeatable production readiness.

In practice, its role looks closer to an extreme local runtime path for giant MoE models. The evidence repeatedly mentions pure C, zero dependencies, no GPU, and roughly 25GB RAM for running GLM-5.2 744B MoE. The key idea presented in posts is that MoE activates only part of the parameters at a time rather than keeping the whole model resident. So this is not a model training platform and not a business-friendly all-in-one AI app; a better analogy is a local CPU inference engine or research-style implementation focused on aggressive scheduling and memory handling for a specific giant MoE setup.