Feb 11, 2025 · Multi-head Latent Attention (MLA), introduced in Deepseek V2 DeepSeek-AI (2024) and extended in Deepseek V3 DeepSeek-AI (2024) and Deepseek R1 Guo et al. Their goal is to liberate meta powers and destroy the existing framework of The Paranormal Liberation Front (超 (ちょう) 常 (じょう) 解 (かい) 放 (ほう) 戦 (せん) 線 (せん) , Chōjō Kaihō Sensen?) was a large, powerful Villain organization formed from the union of the League of Villains and the Meta Liberation Army. Feb 17, 2025 · とはいえ、論文中では行間がすごく広くなっているMLAに関して、詳細に記述しているので、誰かの理解の助けになれば嬉しいです。あと、今のAIでは書けない記事を書きたかった。（o1 proとかに解説を依頼したとしても、ここまで詳細には解説してくれないはずです）なお、最近流行りの Altho i want the video and info of the MLA to get out so that the world of MHA will crumble. 2's DeepSeek V3的大火，让我深入学习了MLA的结构、原理和公式，借此，重新整理下相关的MHA、MQA、GQA和MLA这一脉络。最初 MHA首先是transformer论文中提出，也是应用很广的MHA（ Multi-HeadAttention），多头注意力… 3 days ago · In every country, there is a designated Central Authority for dealing with the requests for Mutual Legal Assistance in Criminal Matters. A page for describing Recap: My Hero Academia: Meta Liberation Army Arc. Compared to MHA, EG-MLA achieves over 91. Some work exists for exploring the properties of MLA, but a lot of it is Chinese-language blogs 13. py and gpt_with_kv_mla. TLDR: the MLA is a bunch of regular people who are bitter about “not being special”, yes. 01 Kernels for MHA on SM100: Thanks to NVIDIA's PR for MHA forward / backward kernels on SM100! 2025. The Meta Liberation Army, a terrorist group once dormant against the regularization … I think if anyone in the MLA needed to perish it should I’ve been Re-Destro as he’s just not worth anything anymore. head_dim_k = 576 with head_dim_v = 512), while MHA stands for Multi-Head Attention mode (i. They serve as the main antagonists of the Paranormal Liberation War Arc and Feb 13, 2025 · In this context, MHA, MQA, and GQA can be seen as variants of the non-contextual versions of TPA. 2 days ago · 至此，我们的KV Cache优化之旅，从最朴素的MHA，一路走到了MQA、GQA，最终抵达了MLA架构。 MLA这一架构也在之后的DeepSeek-V3和DeepSeek-R1中被继续沿用。参考缓存与效果的极限拉扯：从MHA、MQA、GQA到MLA MLA: Redefining KV-Cache Through Low-Rank Projections and On-Demand Decompression The gpt_with_kv_mha. List of episodes adapting the Meta Liberation Army Arc. Our approach enables direct compatibility with DeepSeek's codebase, allowing these models to fully leverage DeepSeek-specific optimizations such as vLLM and SGlang. MHA Backends # MLA Backends # Note Multimodal attention is selected by --mm Feb 11, 2025 · MLA是MHA的变体，因此先来看看MHA。 MHA（多头注意力）《【LLM】一文详解MHA、GQA、MQA原理》 MHA通过将输入向量分割成多个并行的注意力“头”，每个头独立地计算注意力权重并产生输出，然后将这些输出通过拼接和线性变换进行合并以生成最终的注意力表示。 Transformer 编码器块内的缩放点积注意力多头隐含注意力机制 — MLA 多头隐式注意力（MLA）性能优于MHA，并且显著减少了KV缓存，从而提高了推理效率。不同于MQA和GQA减少KV头的做法，MLA将Key和Value共同压缩成一个隐式向量。 May 13, 2024 · 消融实验设计了两组, 分别是 MHA, GQA, MQA 这三种传统方案的对比, 以及 MHA 和 MLA 这两种方案的对比. 5k次，点赞22次，收藏31次。从MHA、MQA、GQA到MLA的简单分析和对比_从mha、mqa、gqa到mla May 4, 2025 · MLA是利用了NoPE的MHA和MQA可以相互变换的特性，在训练和prefill阶段表现为head_dims=192的MHA，在decoding阶段表现为head_dims=576的MQA，利用了两个阶段分别是compute-bound和memory-bound的特性，使得两个阶段的效率都实现最大化，并不存在什么“牺牲时间换空间”或者“牺牲 Jul 17, 2025 · 注意力机制是Transformer架构的灵魂，也是大模型性能与效率平衡的关键。从最初的多头注意力（MHA）到最新的多头潜在注意力（MLA），研究者们通过不断优化键（Key）、值（Value）与查询（Query）的交互方式，在模型表达能力与计算效率之间持续探索。本文将系统梳理MHA、MQA、GQA、MLA四种主流注意力 The Paranormal Liberation Front (超 (ちょう) 常 (じょう) 解 (かい) 放 (ほう) 戦 (せん) 線 (せん) , Chōjō Kaihō Sensen?) was a large, powerful Villain organization formed from the union of the League of Villains and the Meta Liberation Army. Feb 25, 2025 · 近年来，MHA 产生了多个变体，如和，这些改进主要用于提高计算效率和减少计算开销。本文将深入探讨这些注意力机制的工作原理、数学公式、优缺点及应用场景，帮助理解Transformer 及其改进版本。 _mha gqa mla May 22, 2025 · The MLA wanted to rid society of oppression, but with so many other characters competing for attention, there simply wasn’t enough space in the storyline to explore their depth. Apr 5, 2024 · The Meta Liberation Army Arc introduces My Hero Academia fans to a new group of villains and some backstory to Tomura Shigaraki's deceased family. For a detailed explanation of these modes, please refer to the appendix of DeepSeek V3. Feb 26, 2025 · 最近大火的 DeepSeek-V3 主要使用了 Multi-head Latent Attention (MLA) 和 DeepSeekMoE。其中 MLA 在 DeepSeek-V2 中已经提出并使用。学习和整理记录一下 Attention 的发展链路，从 MHA -> MQA -> GQA -> MLA。借鉴苏神的解读，缓存与效果的极限拉扯：从 MHA、MQA、GQA 到 MLA，写写自己的学习记录。 1. MLA is comparatively very understudied. MHA (Multi-Head Attention) Multi-Head 4. 33T tokens 上分别进行训练得到. 51CTO We would like to show you a description here but the site won’t allow us. A. py scripts in this folder provide hands-on examples for comparing the MHA and MLA memory usage in the context of a GPT model implementation. May 13, 2024 · MLA # 有了MHA、MQA、GQA的铺垫，我们理解MLA（M ulti-head L atent A ttention）就相对容易一些了。 DeepSeek-V2的技术报告里是从低秩投影的角度引入MLA的，以至于有部分读者提出“为什么LoRA提出这么久了，直到MLA才提出对KV Cache低秩分解的做法”之类的疑问。 May 20, 2025 · 多头注意力机制（Multi-Head Attention，MHA）多头注意力（Multi-Head Attention, MHA）是Transformer模型的核心机制，通过并行计算多个注意力头，使模型能够同时关注输入序列中不同位置的特征。 The gpt_with_kv_mha. 6x inference speedup at an May 28, 2024 · 引言最近，幻方发布的DeepSeek-V2引起了广泛关注。其1块钱100万token的价格令人惊叹，而背后的关键技术之一——MLA（Multi-head Latent Attention）更是备受瞩目。本文将带大家梳理从MHA、MQA、GQA到MLA的演变历程，并深入介绍MLA的设计思路。 MHA：多头注意力非常详细！万字长文带你了解Attention，从MHA到DeepSeek MLA，含大量图解！ NLP自然语言处理微信公众号：AINLPer 收录于 · 大模型基础知识 Sep 1, 2021 · The fifth season of My Hero Academia has finally dove into the long-awaited My Villain Academia Arc, which sees the Meta Liberation Army fully reveal themselves to eliminate the League of Villains Sep 29, 2025 · 2025. Aug 27, 2021 · The MLA isn't going to just tear down hero society, they're planning to replace it with something new. (2025), strikes a balance between speed and effectiveness. Nov 27, 2025 · 5. Contribute to haukzero/from-mha-to-mla development by creating an account on GitHub. Enabling well . 1原理与公式多头注意力机制（MHA）是Transformer架构的核心组成部分，其原理是 May 28, 2024 · 引言最近，幻方发布的DeepSeek-V2引起了广泛关注。其1块钱100万token的价格令人惊叹，而背后的关键技术之一——MLA（Multi-head Latent Attention）更是备受瞩目。本文将带大家梳理从MHA、MQA、GQA到MLA的演变历程，并深入介绍MLA的设计思路。 MHA：多头注意力 Chikara Yotsubashi (四 (よ) ツ橋 (ばし) 主税 (ちから) , Yotsubashi Chikara?),[2] also known as Destro (デストロ, Desutoro?), was an infamous villain and the grand commander and founder of the original Meta Liberation Army. Feb 11, 2025 · In this paper, we present TransMLA, a framework that seamlessly converts any GQA-based pre-trained model into an MLA-based model. MQA stands for Multi-Query Attention mode (i. This means the KV Cache size would revert to the same size as MHA, which goes against the very design purpose of GQA. DeepSeek 中的 MLA 技術突破在最新的 DeepSeek-V3 架構中，MLA（多頭潛在注意力）成為了關鍵技術。為瞭解決 MHA 在長序列推理時 KV Cache 過大的問題，MLA 並不直接儲存巨大的 K 和 V 矩陣，而是透過矩陣分解技術，將其壓縮為低維度的「潛在向量」（Latent Vector）。 But the MLA’s followers are selectively choosing to see the ways in which they are hindered than the ways they are protected/protecting others. The Ministry of Home Affairs transmits and receives all requests for legal assistance 1 多头注意力机制（Multi-Head Attention，MHA）多头注意力（Multi-Head Attention, MHA）是Transformer模型的核心机制，通过并行计算多个注意力头，使模型能够同时关注输入序列中不同位置的特征。其核心思想是将… Creator Chose Not To Use Archive Warnings No Archive Warnings Apply Midoriya Izuku/Shigaraki Tomura | Shimura Tenko Rappa Kendou/Usagiyama Rumi | Miruko Fukukado Emi | Ms. LoV: Which is Worse? The League of Villains is, somehow, more evil but still the lesser of two evils. 22 Deep-Dive Blog: We'd love to share the technical details behind the new FlashMLA kernel! The Australian heads of government include the prime minister of Australia, the premiers of the six states of Australia, and the chief ministers of the two self-governing territories of Australia. The League of Villains are the protagonists of this arc, and the title of the series temporarily shifts to "My Villain Academia". They are also people who decided their personal gain is more important than the safety of the community. It was led by the Grand Commander, Tomura Shigaraki. Even if the MLA get destroyed, their influences and corruption in the hero system will affect the world. My Hero Academia Chose a Great Focus, but at a Cost Given More Time, the Meta Liberation Army Could Have Elevated the Series May 20, 2025 · 从最初的多头注意力机制（MHA）到如今的多查询注意力（MQA）、分组查询注意力（GQA）及多头潜在注意力（MLA），这一系列技术创新不仅提升了模型的性能，也为各类应用提供了新的可能性。这种设计不仅有效减少了参… 多头注意力（Multi-Head Attention, MHA）是Transformer模型的核心机制，通过并行计算多个注意力头，使模型能够同时关注输入序列中不同位置的特征。这种设计在保持多头多样性的前提下，减少了显存占用和计算延迟，适合长序列建模和大规模模型部署。 _手撕mha EG-MLA introduces a token-specific embedding gat-ing mechanism applied in the latent space, enabling fine-grained modulation of compressed KV vectors with mini-mal additional computation. MLA 有了MHA、MQA、GQA的铺垫，我们理解MLA（M ulti-head L atent A ttention）就相对容易一些了。 DeepSeek-V2 的技术报告里是从低秩投影的角度引入MLA的，以至于有部分读者提出“为什么LoRA提出这么久了，直到MLA才提出对KV Cache低秩分解的做法”之类的疑问。 Jan 18, 2025 · 文章浏览阅读2. head_dim_k = 192 / 128 with head_dim_v = 128). 从最初的多头注意力（MHA）到如今的高效变体，如多查询注意力（MQA）、分组查询注意力（GQA）和多层注意力（MLA），注意力机制不断演进，旨在解决计算效率、内存占用和模型性能之间的平衡问题。 May 13, 2024 · However, MLA’s approach, by using different projection matrices, makes all K and V Heads distinct again. May 18, 2024 · 接下来，本文将跟大家一起梳理一下从 MHA、MQA、GQA 到 MLA 的演变历程，并着重介绍一下 MLA 的设计思路。 MHA MHA（M ulti- H ead A ttention），也就是多头注意力，是开山之作《Attention is all you need》所提出的一种 Attention 形式，可以说它是当前主流 LLM 的基础工作。 Feb 13, 2025 · DeepSeek的核心黑科技之一就是使用了Multi-Head Latent Attention (MLA) ，我们将从Transformer中传统的多头注意力机制（MHA，Multi-Head Attention）开始，详细解读MLA的原理和差异。一、头注意力机制（MHA，Mul… 3 days ago · The support matrix is split into two parts: MHA (standard attention) and MLA (multi-head latent attention). All For One's personal confidant has given Tomura Shigaraki a near-impossible challenge that, if he can beat it, will prove he DeepSeek V3的大火，让我深入学习了MLA的结构、原理和公式，借此，重新整理下相关的MHA、MQA、GQA和MLA这一脉络。最初 MHA首先是transformer论文中提出，也是应用很广的MHA（ Multi-HeadAttention），多头注意力… Jul 13, 2024 · MHA vs MQA vs GQA vs MLA Comparison of Deepseek’s new Multi-latent head attention with MHA, MQA, and GQA. They serve as the main antagonists of the Paranormal Liberation War Arc and 3 days ago · In every country, there is a designated Central Authority for dealing with the requests for Mutual Legal Assistance in Criminal Matters. What motivated them to do what they did? Mar 3, 2025 · Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs - JT-Ushio/MHA2MLA 1 多头注意力机制（Multi-Head Attention，MHA）多头注意力（Multi-Head Attention, MHA）是Transformer模型的核心机制，通过并行计算多个注意力头，使模型能够同时关注输入序列中不同位置的特征。其核心思想是将… 从最初的多头注意力（MHA）到如今的高效变体，如多查询注意力（MQA）、分组查询注意力（GQA）和多层注意力（MLA），注意力机制不断演进，旨在解决计算效率、内存占用和模型性能之间的平衡问题。多头注意力（Multi-Head Attention, MHA）是Transformer模型的核心机制，通过并行计算多个注意力头，使模型能够同时关注输入序列中不同位置的特征。这种设计在保持多头多样性的前提下，减少了显存占用和计算延迟，适合长序列建模和大规模模型部署。 _手撕mha Feb 18, 2025 · from MHA, MQA, GQA to MLA by 苏剑林, with code. In Transformer decoders, since the attention of tokens is dependent on the preceding … A page for describing Characters: My Hero Academia - Meta Liberation Army. The Ministry of Home Affairs transmits and receives all requests for legal assistance May 13, 2024 · MLA # 有了MHA、MQA、GQA的铺垫，我们理解MLA（M ulti-head L atent A ttention）就相对容易一些了。 DeepSeek-V2的技术报告里是从低秩投影的角度引入MLA的，以至于有部分读者提出“为什么LoRA提出这么久了，直到MLA才提出对KV Cache低秩分解的做法”之类的疑问。对比MQA（每层有一个 d_h 维度的 k 和一个 d_h 维度的 v ，共 2d_h 个元素），MLA相当于增加了2. , was a large, powerful villain organization that follows the philosophy that the free usage of Quirks is a basic human right and emphasizes liberation over regulation. 下表中很明显, MHA 是显著由于另外两种方案. 51CTO Aug 26, 2024 · 如上图所示 (在MHA GQA中大量存在于keys values中的KV缓存——带阴影表示，到了MLA中时，只有一小部分的被压缩Compressed的Latent KV了) 那，MLA具体如何做压缩呢，详看下节 2. When he was alive, Chikara had long, light brown hair worn in a simple Feb 11, 2025 · In this paper, we present TransMLA, a framework that seamlessly converts any GQA-based pre-trained model into an MLA-based model. 4节我们在展开讨论。 MLA号称又快又省又强大，下一节我们逐步看看具体的实现 May 24, 2025 · 文章浏览阅读3. In our work, we first demonstrate that MLA can represent GQA while offering more powerful modeling capabilities, all while using the same size of the KV cache. 3k次，点赞33次，收藏43次。是时候准备面试和实习了不同以往的是，当前职场环境已不再是那个双向奔赴时代了。求职者在变多，HC 在变少，岗位要求还更高了。最近，我们又陆续整理了很多大厂的面试题，帮助一些球友解惑答疑，分享技术面试中的那些弯弯绕绕。。_手撕attention The Meta Liberation Army (異 (い) 能 (のう) 解 (かい) 放 (ほう) 軍 (ぐん) , Inō Kaihō-gun?), often acronymized as M. e. Main Character Index > Villains > League of Villains | Shie Hassaikai | Meta … Apr 19, 2025 · The Meta Liberation Army is an important faction within My Hero Academia, with these being the most interesting and memorable members. MLA 有了MHA、MQA、GQA的铺垫，我们理解MLA（M ulti-head L atent A ttention）就相对容易一些了。 DeepSeek-V2 的技术报告里是从低秩投影的角度引入MLA的，以至于有部分读者提出“为什么LoRA提出这么久了，直到MLA才提出对KV Cache低秩分解的做法”之类的疑问。 Apr 14, 2025 · 图片今天咱们来唠唠那些听起来高大上、实则超实用的注意力机制：MHA、MQA、GQA和MLA。是不是光看这些缩写就头大了？别怕，我这就带你一文看懂它们的原理和计算公式，让你轻松掌握这些前沿技术1. May 20, 2025 · 从最初的多头注意力机制（MHA）到如今的多查询注意力（MQA）、分组查询注意力（GQA）及多头潜在注意力（MLA），这一系列技术创新不仅提升了模型的性能，也为各类应用提供了新的可能性。这种设计不仅有效减少了参… Jan 22, 2024 · The Meta Liberation Army turned out to be one of the greatest dangers hero society would face. 最近大火的 DeepSeek-V3 主要使用了 Multi-head Latent Attention (MLA)和 DeepSeekMoE。其中MLA在DeepSeek-V2中已经提出使用。学习和整理记录一下Attention的发展链路，从MHA ->MQA -> GQA ->MLA。借鉴苏神的解读缓存与效果的极限拉扯：从MHA、MQA、GQA到MLA，写写自己的学习记录。 EG-MLA introduces a token-specific embedding gat-ing mechanism applied in the latent space, enabling fine-grained modulation of compressed KV vectors with mini-mal additional computation. Sep 12, 2025 · Multi-head Latent Attention (MLA) Similar to GQA, which only manipulates the key and value projections, Multi-head Latent Attention (MLA) also factorizes only the key and value projections. The hope with this work is a straightforward, pedagogical implementation of MLA to aid in understanding the costs and benefits. [3] He is the son of The Mother of Quirks and the ancestor of Rikiya Yotsubashi. Model Architecture DeepSeek-V2 adopts innovative architectures to guarantee economical training and efficient inference： For attention, we design MLA (Multi-head Latent Attention), which utilizes low-rank key-value union compression to eliminate the bottleneck of inference-time key-value cache, thus supporting efficient inference. MHA（MultiHeadAttention）1. Geten is my third favorite as the cool, mysterious, and powerful character; he’s pretty much the Dabi of the MLA as they are basically opposites of each other power-wise which was obviously shown in their battle. However, these studies did not offer theoretical proof or perform ablation experiments comparing MLA’s performance with that of GQA. L. 再对比 MHA 和 MLA. In Transformer decoders, since the attention of tokens is dependent on the preceding … [2]: Here "MLA Mode" refers to the mode used for MLA calculation. Contribute to preacher-1/MLA_tutorial development by creating an account on GitHub. May 29, 2024 · 最佳版本请看原博客：缓存与效果的极限拉扯：从MHA、MQA、GQA到MLA - 科学空间|Scientific Spaces前几天，幻方发布的 DeepSeek-V2引起了大家的热烈讨论。首先，最让人哗然的是1块钱100万token的价格，普遍比现有… MHA, MQA, GQA, MLA 相关原理及简要实现. The original Meta Liberation Army was founded and led by the infamous Destro and the Jan 31, 2025 · Note that MLA is developed to speedup inference speed in autoregressive text generation, so the MHA we are talking about under this context is for decoder-only Transformer. If the LoV is able to accomplish its mission, their actions could be equated to a natural disaster. Joke/Kurogiri Toga Himiko/Utsushimi Camie mentions - Relationship Toga Himiko Fukukado Emi | Ms. My Hero Academia Chose a Great Focus, but at a Cost Given More Time, the Meta Liberation Army Could Have Elevated the Series 51CTO Jun 16, 2025 · 多头自注意力机制（Multi-Head Attention, MHA）通过并行计算多个注意力头，使模型能够同时关注输入序列中不同位置的特征。其核心思想是将输入映射到多个子空间，分别计算注意力权重并聚 MHA, MQA, GQA, MLA 相关原理及简要实现. Joke Shigaraki Tomura | Shimura Tenko Kurogiri (My Hero Academia) Meta Liberation Army (My Hero Academia) League of Villains Apr 5, 2024 · The Meta Liberation Army Arc introduces My Hero Academia fans to a new group of villains and some backstory to Tomura Shigaraki's deceased family. 3 days ago · The support matrix is split into two parts: MHA (standard attention) and MLA (multi-head latent attention). 在 MHA, GQA, MQA 对比的消融实现中, 使用 7B 大小的模型, 在 1. 4. However, unlike GQA, MLA doesn’t share the key and value projections across multiple queries, but operates in the same way as multi-head attention. Sep 29, 2025 · 2025. The Meta Liberation Army (異 (い) 能 (のう) 解 (かい) 放 (ほう) 軍 (ぐん) , Inō Kaihō-gun?), often acronymized as M. 1 day ago · Kolkata: Calcutta High Court on Monday allowed Bharatpur MLA Humayun Kabir to seek security cover from the Union home ministry if he wished to do so, after the former Trinamool neta moved the HC recently, saying his life was under threat, reports Subrata Chattoraj. To solve this problem, MLA uses a simple clever identity on the dot-attention to circumvent this problem. For an explanation of the key differences between MHA and MLA, please see the SGLang documentation on DeepSeek MLA and the original DeepSeek MLA paper. Compared to MLA, standard LLMs employing Multi-Head Attention (MHA) and its variants such as Grouped-Query Attention (GQA) exhibit significant cost disadvantages. Aug 26, 2021 · In short, this attack against Giran is a declaration of war. 7k次，点赞22次，收藏32次。对于一个输入序列中的某个词，都会与序列中的所有词计算相关性。假设有一个输入序列：对于每个词，我们计算它与所有其他词的相关性，并赋予不同的权重，然后将这些信息进行加权求和，得到新的表示。当前这里的每个词都要在经过Embedding之后，再做 Sep 12, 2025 · Multi-head Latent Attention (MLA) Similar to GQA, which only manipulates the key and value projections, Multi-head Latent Attention (MLA) also factorizes only the key and value projections. 6% reduction in KV cache size with negli-gible performance degradation. 04. Jul 13, 2024 · MHA vs MQA vs GQA vs MLA Comparison of Deepseek’s new Multi-latent head attention with MHA, MQA, and GQA. 2 详解MLA的两个部分：一部分做压缩、一部分做 RoPE 编码 1 多头注意力机制（Multi-Head Attention，MHA）多头注意力（Multi-Head Attention, MHA）是Transformer模型的核心机制，通过并行计算多个注意力头，使模型能够同时关注输入序列中不同位置的特征。其核心思想是将… May 22, 2025 · The MLA wanted to rid society of oppression, but with so many other characters competing for attention, there simply wasn’t enough space in the storyline to explore their depth. In India, the Ministry of Home Affairs is the designated Central Authority of the Republic of India for dealing with requests of mutual legal assistance in criminal matters. 6x inference speedup at an 非常详细！万字长文带你了解Attention，从MHA到DeepSeek MLA，含大量图解！ NLP自然语言处理微信公众号：AINLPer 收录于 · 大模型基础知识 Feb 25, 2025 · 从上表可以看出，MHA在表现上最为全面，但由于每个注意力头都分配独立的键和值，内存占用及计算成本较高；GQA通过分组策略部分缓解了此问题；而MLA在引入潜在嵌入后，不仅大幅降低KV缓存需求，同时保存了丰富的上下文信息，适合低内存高性能模型场景。 3. 1 多头注意力机制（Multi-Head Attention，MHA）多头注意力（Multi-Head Attention, MHA）是Transformer模型的核心机制，通过并行计算多个注意力头，使模型能够同时关注输入序列中不同位置的特征。其核心思想是将… Jan 31, 2025 · Note that MLA is developed to speedup inference speed in autoregressive text generation, so the MHA we are talking about under this context is for decoder-only Transformer. MLA vs. MHA Backends # MLA Backends # Note Multimodal attention is selected by --mm 最近大火的 DeepSeek-V3 主要使用了 Multi-head Latent Attention (MLA)和 DeepSeekMoE。其中MLA在DeepSeek-V2中已经提出使用。学习和整理记录一下Attention的发展链路，从MHA ->MQA -> GQA ->MLA。借鉴苏神的解读缓存与效果的极限拉扯：从MHA、MQA、GQA到MLA，写写自己的学习记录。 Mar 12, 2025 · 文章浏览阅读1. Jan 22, 2024 · Legacy of the Meta Liberation Army Despite their activities remaining covert for many years, the MLA left an indelible mark on the plot during their brief spotlight in the Meta Liberation Army Arc. During this call, Re-Destro unveils his identity while My Hero Academia fans get a glimpse at three of the MLA's higher-ups, who (based on promotional material) go by the names Curious, Trumpet and Skeptic. 22 Deep-Dive Blog: We'd love to share the technical details behind the new FlashMLA kernel! Feb 20, 2025 · Multi-head Latent Attention (MLA) is an innovative architecture proposed by DeepSeek, designed to ensure efficient and economical inference by significantly compressing the Key-Value (KV) cache into a latent vector. By compressing 93% of the KV cache in LLaMA-2-7B, TransMLA achieves a 10. We would like to show you a description here but the site won’t allow us. The original Meta Liberation Army was founded and led by the infamous Destro and the The Meta Liberation Army Arc is the sixteenth story arc in My Hero Academia, as well as the seventh story arc in the Rise of Villains Saga. 08. 25倍的存储，但DeepSeek描述自己的方法不仅比MQA强，而且比非共享KV的原始MHA也要强，后面4.

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Mla Mha. Feb 11, 2025 · Multi-head Latent Attention (MLA), introduc