小巧却强大的推理引擎！Ring-mini-2.0 震撼发布，性能超越10B模型
今天，我们正式推出了 Ring-mini-2.0，这是一款基于 Ling-mini-2.0架构深度优化的高性能推理型 MoE 模型。Ring-mini-2.0的总参数量达到16B，但在实际运行中仅需激活1.4B 参数，便能实现相当于10B 级别以下的密集模型的推理能力。这款模型在逻辑推理、编程和数学任务中表现尤为出色，支持128K 的长上下文，使得其在各种应用场景中都能展现出强大的能力。此外，Ring-mini-2.0的生成速度也相当惊人，能够实现300+ token/s 的快速生成，经过优化后更是可以突破500+ token/s。图源备注：图片由AI生成，图片授权
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