🔥牛逼!性能直接碾压!Hybrid Attention终于不“缩水”了:BOSS直聘南北阁开源 Depth Hybrid Attention…



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🔥牛逼!性能直接碾压!Hybrid Attention终于不“缩水”了:BOSS直聘南北阁开源 Depth Hybrid Attention (DHA),短上下文平均分暴涨,KV Cache几乎零增加! 它在混合注意力架构里加入了“跨层值混合”,让每一层都能有选择地借用更早层的信息,模型表达能力明显变强,却几乎不增加计算和缓存开销。 核心优势 🔹短上下文基准全面领先:DWA平均39.68、DDA平均40.92,均超过对应的Full Attention和Hybrid基线 🔹生成任务涨幅尤其明显(GSM8K、CMATH等) 🔹长上下文检索和损失曲线也更好 🔹完整保留Hybrid Attention的低KV Cache优势,深度银行不随上下文长度增长 快速上手 1️⃣克隆仓库:git clone https://github.com/Nanbeige/Depth-Hybrid-Attention 2️⃣查看code/目录直接集成 3️⃣有问题联系:nanbeige@kanzhun.com GitHub:https://github.com/Nanbeige/Depth-Hybrid-Attention #Nanbeige #DHA #DepthHybridAttention #LLM #开源 #混合注意力 #AI架构 #Boss直聘
Posted by SuSu_酥酥👅 (26.1k followers) 1 h ago · 19 likes · 1.8k views · view the original post on X. Kept by the Dev Radar as Other. Tools mentioned: depth-hybrid-attention.
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