在这讲一下另一种(理论有损)提升注意力计算效率的方法:SWA(sliding window attention)。 一些效果受到广泛关注的模型,如Qwen系列和Mistral就使用了SWA。 关于Mistral: Mistral AI是法国一家AI独角兽公司,2023年5月才成立,但是在2023年9月和12月就分别推出了Mistral 7B和MoE模型Mistral 8x7B并开源。 2024年2月,微...
按照这个规律,可以解释Mistral文章中,所提到的这一段 Note that tokens outside the sliding window still influence next wordprediction. At each attention layer, information can move forward by W tokens at most: after two attention layers, information can move forward by 2W tokens, etc. For instance ...
Mistral AI推出的Mistral 7B模型在Attention部分，基于GQA基础上叠加了SWA（Sliding window attention）优化，旨在提升推理速度与降低显存需求。本文旨在解析SWA的原理及在LLM推理中的优势。SWA是一种稀疏注意力机制的延伸，相较于常规Attention机制，其计算量及显存占用有显著减少。在推理阶段，SWA通过减少Attenti...
SWA滑动窗口注意力机制是用于Mistral 7B模型的改进之一。它的主要目的是在每一层中关注先前的4096个隐藏状态，以便模型可以更好地利用过去的信息。这个注意力机制的特点是计算成本线性增长，具体来说是O(sliding_window.seq_len)的复杂度。为了实现SWA滑动窗口注意力，使用了Transformer的堆叠层。在这个机制中，第k层的...
Star Here is 1 public repository matching this topic... Notes on the Mistral AI model nlppytorchmistralllmxformersmistral-7bmixtralmixtral-8x7bsliding-window-attention UpdatedDec 27, 2023 Jupyter Notebook Improve this page Add a description, image, and links to thesliding-window-attentiontopic ...
Currently, implementation of the sliding window in the Gemma2FlashAttention2 module has issues. Specifically, when applying the sliding window, the attention mask is sliced. This can lead to problems if the sequence length exceeds the sliding window size. Instead, I use the window_size parameter...
众所周知,self-attention的时间复杂度是O(n^2),一种减轻self-attention时间复杂度的方法是利用sparse attention(稀疏注意力机制),sliding window attention(swa,滑动窗口注意力机制) 就是其中一种。 最近的Mistral和Qwen1.5都使用了swa。swa主要用于推理加速,也是长度外推的一种方法。 顾名思义,滑窗注意力机制就是...
Slow tests for Mistral are all good (two failing, but on main as well) @ArthurZucker commentedOct 11, 2024 Actually it does not depend on the Cache class used. The lines slicing_tokens=1-self.config.sliding_windowpast_key=past_key_value[self.layer_idx][0]past_value=past_key_value[self...
Open Does Flash-Attention support Rolling Cache with the local (sliding window) attention? #633 aciddelgado opened this issue Oct 24, 2023· 2 comments Comments aciddelgado commented Oct 24, 2023 Like what is needed for Mistral AI model (https://github.com/mistralai/mistral-src#rolling...
Add sliding window attention to Mistral and Phi 3 #1741 Merged Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Reviewers lantiga Assignees No one assigned Labels None yet Projects None yet Milestone No milestone Development Successfull...