paper :arxiv.org/pdf/2401.0408 code : GitHub - mistralai/mistral-src: Reference implementation of Mistral AI 7B v0.1 model. 首先,通过Mistral AI 公司的主页我发现他一共发布了两个模型:Mistral 7B 和Mixtral-8x7B,后者为基于前者的MoE模型。从其公布的测试结果可以发现Mistral 7B 以7B的参数量在所有ben...
这里简单的解释一下什么是MoE,简单点说就是我让一个网络模型结构有多条分支,每条分支代表一个Expert(专家),每个Expert都有其擅长的领域,当具体任务来临时,可以通过一个门空位Gate来具体选择采用哪一个或者哪几个Experts进行计算,这样的好处就是让每个Expert更专注特定领域,降低了不同领域数据对权重学习的干扰。当然在...
paper君 nlp、大模型5 人赞同了该文章 目录 收起 一、背景 二、技术方案 MoE原理 MoE预训练 Noisy Top-k Gating 三、实验结果 四、模型实践 一、背景 近日,MistralAI 发布了 Mixtral 8x7B 的多专家模型。得益于一种名为混合专家(MoE)的技术,将8个Mixtral-7B的“专家”模型合而为一。Mixtral 在大多...
Mixtral 基于 Transformer 架构,支持上下文长度达到 32k token,并且前馈块被 Mixture-of-Expert(MoE)层取代。 稀疏专家混合 专家混合层如图 1 所示。 对于给定的输入 x,MoE 模块的输出由专家网络输出的加权和决定,其中权重由门控网络的输出给出。即给定 n 个专家网络{E_0, E_i, …, E_(n−1)},则专家...
A MoE layer contains a router network to select which experts process which tokens most efficiently. In the case of Mixtral, two experts are selected for each timestep, which allows the model to decode at the speed of a 12B parameter-dense model, despite containing 4x the number of ...
A MoE layer contains a router network to select which experts process which tokens most efficiently. In the case of Mixtral, two experts are selected for each timestep, which allows the model to decode at the speed of a 12B parameter-dense model, despite containing 4x the number of ...
3.1 Multilingual benchmarks, 3.2 Long range performance, and 3.3 Bias Benchmarks 4 Instruction Fine-tuning 5 Routing analysis 6 Conclusion, Acknowledgements, and References 6 Conclusion In this paper, we introduced Mixtral 8x7B, the first mixture-of-experts network to reach a state-of-theart ...
【PaperReading-大语言模型】更强大的MOE模型Mixtral 8x22B GG讲论文· 4-21 792006:36 【生肉】在Mac+跨设备运行混合专家大模型 Mixtral-8x7B Second_State· 1-3 1324003:32 Mixtral-8x7B-Instruct开箱测试Transformer推理 #小工蚁 小工蚁创始人· 2023-12-15 488013:58 Mixtral 8X7B:打败GPT3.5的大语言模...
Mistral AI’s latest model, 8X7B, based on the MoE architecture, is comparable to other popular models such as GPT 3.5 and Llama 2 70B. Licensed under Apache 2.0, Mixtral surpasses Llama 2 70B on most benchmarks with 6x faster inference. Mistral AI brands itself as the ‘Mixtral of Ex...
Results from the Paper Edit Ranked #12 on Question Answering on PIQA Get a GitHub badge TaskDatasetModelMetric NameMetric ValueGlobal RankUses ExtraTraining Data Benchmark Common Sense Reasoning ARC (Easy) Mistral 7B (0-shot) Accuracy 80.5 # 14 Compare Common Sense Reasoning ARC (Easy) ...