人工智能初创公司Liquid AI发布并开源了端侧大模型LFM2.5-8B-A1B，专为消费级硬件设计，优化工具调用和指令遵循能力。该模型采用稀疏混合专家架构，总参数量8.3B，但每个Token仅激活1.5B参数，在降低计算成本的同时提升推理性能，可流畅运行于手机和笔记本电脑上。
Liquid AI推出LFM2.5-1.2B-Thinking推理模型，拥有12亿参数，专为复杂逻辑推理和数学任务设计。该模型在端侧部署上实现突破，仅占用约900MB内存，可在现代手机上完全离线运行，将两年前需数据中心支持的推理能力成功迁移至个人移动设备。
Liquid AI推出新一代小型基础模型LFM2.5，专为边缘设备和本地部署设计。该系列包括基础版和指令版，并扩展了日语、视觉语言及音频语言变种。模型基于LFM2混合架构，针对CPU和NPU优化，实现快速高效推理。开源权重已发布在Hugging Face平台。
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