The GPTNeo model was released in the EleutherAI/gpt-neo repository by Sid Black, Stella Biderman, Leo Gao, Phil Wang and Connor Leahy. It is a GPT2 like causal language model trained on the Pile dataset. The architecture is similar to GPT2 except that GPT Neo uses local attention in every other layer with a window size of 256 tokens.

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library. - EleutherAI/gpt-neo

GPT-Neo 2.7B is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 2.7B represents the number of parameters of this particular pre-trained model.

Mar 22, 2021 · GPT-Neo 是由非营利性组织 EleutherAI 开发的一系列开源语言模型，该组织致力于以更可访问和民主的方式推动人工智能和机器学习的发展。GPT-Neo 模型旨在成为开放和透明的 GPT 模型替代品，后者是由 OpenAI 开发的专有模型。

Nov 27, 2022 · 近日，Eleuther AI在GitHub上推出了一个名为GPT-Neo的开源项目：GPT-3同等复现预训练模型(1.3B & 2.7B)，并可在Colab上完成微调。 虽然GPT-Neo与真正的GPT-3比，参数量仍然很小（较大版本也只与GPT-3最小模型的参数量），但...

Mar 21, 2021 · A series of large language models trained on the Pile. It was our first attempt to produce GPT-3-like language models and comes in 125M, 1.3B, and 2.7B parameter variants.

GPT-Neo is the code name for a series of transformer-based language models loosely styled around the GPT architecture that we plan to train and open source. Our primary goal is to replicate a GPT-3 sized model and open source it to the public, for free.

GPT-Neo是由EleutherAI开发的开源大型语言模型,旨在复现GPT-3的功能。 它使用mesh-tensorflow库实现了模型并行和数据并行的GPT-2和GPT-3风格模型。 GPT-Neo的主要特点包括:

GPT-Neo 1.3B 模型描述. GPT-Neo 1.3B 是基于 EleutherAI 复现的 GPT-3 架构设计的 Transformer 模型。GPT-Neo 指的是一类模型，而 1.3B 表示该特定预训练模型的参数数量。 训练数据. GPT-Neo 1.3B 是在 Pile 数据集上进行训练的，Pile 是由 EleutherAI 创建的大规模精选数据集，专门用于 ...

GPT-Neo 1.3B is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 1.3B represents the number of parameters of this particular pre-trained model.