For Ling-2.6-1T, what would make the size feel justified first: quality per token, local serving reality, or long context stability?
The first question I have about Ling-2.6-1T is not “is the model card impressive?” It is whether the boring trade-off makes sense. It is an open-sourced Ant/InclusionAI flagship with about 1T total params / 63B activated
📄
This source provides headlines only. Use the button below to read the complete article on the original site.
📰 Read the original article on r/LocalLLaMA
Originally published by r/LocalLLaMA. Aggregated on AIWithGhost for educational purposes — full credit and traffic to the original publisher.