Comment by zozbot234

Yup, I hate to engage in anything that looks like a "shallow dismissal" but the project documentation seems to outright contradict itself wrt. whether it's running the model at genuinely native precision (though the claimed 3-bit quant is potentially interesting) and the headline claim of achieving 2 secs/token in a mere 29GB RAM footprint looks outright nonsensical given what we know about K3 itself (~115GB in dense parameters alone at native precision, plus ~25GB active sparse experts per token and some comparatively minor footprint for the KV cache). This is just not very helpful.