待验证50% 置信事实精确时间
LFM2.5 uses a Mixture of Experts (MOE) architecture combined with Liquid convolution
1
来源数
50%
置信度
中期 (~90 天)
时效性
2026/7/2
首次发现
有效期至：2026/9/30
来源
LFM2.5 Local Deployment Hands-On: An 8B Parameter Model That Outperforms GPT-o3s in Tool Calling
bilibiliAGI_Ananas2026/6/1
相关事实
待验证Liquid AI first publicly introduced liquid convolution technology in LFM1.077% 相似待验证LFM2.5 has 24 layers total, with 18 using Liquid AI's proprietary LIV (Liquid) convolution and only 6 retaining traditional attention mechanisms69% 相似待验证LFM2.5-8B-A1B在工具调用（tool calling）场景中官方声称可达到4倍体量模型的效果61% 相似待验证L2约简成为后续fplll等高性能格约简库的理论基石59% 相似已验证智谱AI发布了GLM 4.6，采用混合专家（MoE）架构优化58% 相似
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