AI 导读
⚡ Ling-3.0-flash-base：总参数 124B | 激活 5.1B。 在我们的评测中，Ling-3.0-flash-base 在编程、推理和长上下文任务上表现强劲，即使与参数量大 2 到 3 倍的模型相比也是如此。 这使其非常适合持续预训练、后训练，以及在编程、长周期工作流、金融、医疗和其他专业应用中的领域适配。
正文
⚡ Ling-3.0-flash-base: 124B total | 5.1B active.
In our evaluations, Ling-3.0-flash-base achieves strong performance across coding, reasoning, and long context tasks, even when compared with models 2 to 3 times larger.
This makes it well suited for continued pre-training, post training, and domain adaptation in coding, long horizon workflows, finance, healthcare, and other specialized applications.
来源：@AntLingAGI · x.com