Meet Ling-2.5-1T! 📊1T params (63B active), 29T pre-training corpus & 1M context #LLMs #OpenSource
As the latest flagship instant model in the @AntLingAGI family, Ling-2.5-1T delivers comprehensive upgrades across model architecture, token efficiency, and preference alignment.
🤗 Hugging Face: https://t.co/MEGiB6X6Ke
📷 ModelScope: https://t.co/VRWgfKxW7c
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
alignment — The work of making AI systems actually pursue what their builders and users intend, rather than something subtly or dangerously different.
Why it matters
An open sparse trillion-parameter model with 63B active parameters and a 1M context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition →, which puts long-context frontier scale within reach of self-hosting.
