关于在快速字节潜在变换器熵模型中用Mamba替换Transformer的提问
英文摘要
A Reddit user posted a question on r/MachineLearning asking if anyone has tried replacing the transformer in the entropy model of the "Fast Byte Latent Transformers" paper (arXiv:2412.09871) with a Mamba model. The user, a self-described ML fresher, cites Mamba's O(n) complexity and popularity as motivation and seeks insights into possible changes. The post contains no experimental results or community responses; it is purely an inquiry.
中文摘要
一位Reddit用户在r/MachineLearning上提问，询问是否有人尝试过将论文《快速字节潜在变换器》（arXiv:2412.09871）熵模型中的Transformer替换为Mamba模型。该用户自称机器学习新手，提到Mamba因O(n)复杂度和流行度而受关注，希望了解可能的改动。该帖子不包含任何实验结果或社区回应，仅是一个单纯的询问。
关键要点
A Reddit user inquires about swapping the transformer for a Mamba model in the entropy model of the Fast Byte Latent Transformers paper.
Reddit用户询问在快速字节潜在变换器论文的熵模型中将Transformer换成Mamba模型。
The user references the paper as arXiv:2412.09871 and mentions Mamba's O(n) complexity savings.
用户提及的论文编号为arXiv:2412.09871，并提到Mamba具有O(n)的复杂度优势。
The post is a question seeking experiences and possible changes, with no reported trial or results.
该帖子是一个寻求经验和可能改动的问题，未提供任何试验或结果。