但在推理时，由于需要逐个生成Token并重新计算整个序列的Attention，其效率则相对较低。能否构建一个模型，它能够在训练阶段像Transformer一样实现并行计算，同时确保在推理阶段保持与RNN相似的线性增长推理速度？这正是Mamba所追求的目标。二、State Space Model（SSM）SSM，与Transformer和RNN相似，同样被广泛应用于处理序...
大体上来说,Selective SSM里的C/B/input 对应于Linear Attention的Q/K/V (Denote B=batch size, L=seq len, D=model dim, N=expansion) Δ 可以理解成Gated linaer RNN (e.g. HGRN)的forget gate (size B x L x D),然后通过A矩阵(size N x D) broadcast到扩维之后的每个维度上去 (最后的 siz...
【Mamba详解】 - Mamba是一种新型的状态空间模型(State Space Model,SSM),它取得了和Transformer类似的性能,但可以处理更长的序列(例如100万token)。这是通过去除Attention机制中的“二次瓶颈”实现的。 - SS...
先说结论, Mamba 的写作手法, 底层逻辑, 横向对比 都导致 Mamba 其实是不容易理解的. 网上其实有些教程了, 本文希望能够从小白入门的角度来通俗的讲解 Mamba 模型. 以及希望能够触类旁通, 明白 Mamba 和其他模型之间的关系. ---持续更新, 您的点赞是我更新的不懈动力 (各位别只收藏啊, 笑哭)--- 本文...
With that (and using ssm_conv for reasons explained previously) the tensor looks almost identical. Although the facts about Sara's and Ben's encounter with the abominable snowman still do not match between CPU and GPU, I no longer get strange tokens, and it remains on topic regardless of ...
[Video-Tutorial] [Mamba and S4 Explained: Architecture, Parallel Scan, Kernel Fusion, Recurrent, Convolution, Math] by Umar Jamil [Mamba_Slides.pdf] 📰 Citation If you think this survey is helpful, please feel free to leave a star ⭐️ and cite our paper: @misc{Wang2024SSMSurvey, ti...
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“This efficiency is especially relevant for code productivity use cases — this is why we trained this model with advanced code and reasoning capabilities, enabling it to perform on par with state-of-the-art transformer-based models,” it explained. The company tested Codestral Mamba on in-con...
The Hunyuan team was in a boastful mood earlier today, and loudly proclaimed that their proprietary Turbo S model had charted in fifteenth place. At the time of writing, DeepSeek R1 is ranked seventh on the leaderboard. As explained by ITHome, this community-driven platform is driven by ...
Mamba/S4 explainedTopicswhats sequence modelsState space modelsMamba!Sequence modeling The goal of a sequence model is to map an input sequence, to an output sequence. We can map a continuous input …