Introducing the new member of the @AntLingAGI family, 👏Ling-3.0-tiny, delivering balanced coverage across reasoning, coding agents, instruction following and long-context tasks.
📣Now open weights on Hugging Face & ModelScope
🤗Hugging Face weights:
🔗BF16: https://t.co/QLuNy4YpDm
🔗FP8: https://t.co/Cq8KGCnihh
🔗INT4: https://t.co/2K4HNQQczO
⚙️ModelScope weights:
🔗BF16: https://t.co/DtlAWVk4zm
🔗FP8: https://t.co/rP1yPc2cVH
🔗INT4: https://t.co/XOdLocCxBo
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
quantization — Shrinking a model by storing its numbers less precisely — like rounding — so it runs faster and fits on smaller hardware, at a small quality cost.
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
Why it matters
Ling-3.0-tiny is available in BF16, FP8 and INT4 on Hugging Face and ModelScope, giving teams a small open weightsA model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.Full definition → option tuned for coding agents, tool-driven instruction following and long-context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → work.
