Unverified50% confidenceFactExact time
NVIDIA's Nemotron-H replaces almost all attention layers with Mamba-2 layers.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
UnverifiedNemotron-H 是 NVIDIA 于 2025 年发布的混合架构系列模型，将 Mamba 状态空间模型层与标准 Transformer 注意力层交替堆叠77% similarUnverifiedExLlamaV3 v1.0.0 completely removes the flash-attention-2 and xformers dependencies, replacing them with in-house attention kernels.61% similarUnverifiedMamba-2 and hybrid architectures combining Mamba with Transformers (such as Jamba) have been released, alternately stacking attention mechanisms and SSM layers.59% similarUnverifiedQwen3.8-Flash-Next uses a hybrid attention mechanism combining GDN and QSA, with the MoE layers using 512 experts and Top-10 routing.56% similarUnverifiedQwen3.8-Flash-Next adopts a hybrid attention mechanism of GDN plus QSA, with a total of 125B parameters plus 51B N-gram embeddings, activating only approximately 6B parameters per token.55% similar
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