Unverified50% confidenceFactExact time
DSpark 是针对 DeepSeek 系列模型架构优化的 SGLang 变体,适配了 DeepSeek 的 MLA(Multi-head Latent Attention)注意力压缩机制
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/16/2026
First Seen
Valid until: 10/14/2026
Sources
Related Claims
UnverifiedDeepSeek的DSpark算法针对其MLA(Multi-head Latent Attention)架构特点进行了工程优化,设计了专用草稿策略以获得更高的Token接受率82% similarUnverifiedDeepSeek-V3.2-Exp首次引入自研的DeepSeek Sparse Attention(DSA)稀疏注意力技术76% similarVerifiedDeepSeek采用了混合专家架构(MoE)和多头潜在注意力机制(MLA)75% similarUnverifiedDeepSeek Harness(简称DSH)将注意力从模型本身转向了模型之外的运行环境74% similarUnverifiedDeepSeek开源了DSpark(代码仓库名为DeepSpecs),可在不重训练或量化的前提下实现50%到400%的推理加速72% similar
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