GPT Neo - Hugging Face
GPT Neo Overview. 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 ...
GitHub - EleutherAI/gpt-neo: An implementation of model parallel GPT …
Training and inference is officially supported on TPU and should work on GPU as well. This repository will be (mostly) archived as we move focus to our GPU-specific repo, GPT-NeoX. In …
GPT-Neo - EleutherAI
2021年3月21日 · 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.
EleutherAI/gpt-neo-2.7B - Hugging Face
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.
GPT Neo download | SourceForge.net
2023年3月24日 · Download GPT Neo for free. An implementation of model parallel GPT-2 and GPT-3-style models. An implementation of model & data parallel GPT3-like models using the mesh-tensorflow library.
GPT-Neo - Eleuther AI site
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.
Introducing GPT Neo: the Large Scale Autoregressive Language …
One such language model is GPT Neo, a large-scale autoregressive language model based on the GPT architecture. With its impressive 125 million parameters, GPT Neo is capable of generating high-quality text and performing various NLP tasks, making it a valuable tool for few-shot learning in practice with eleutherai and huggingface.
GPT-4 vs. GPT-Neo vs. GPT-J: A Comprehensive Comparison
2024年8月9日 · GPT-4 is the powerhouse for those who need the best performance, while GPT-Neo and GPT-J offer a more accessible and customizable option for those looking to innovate without the high costs. As AI continues to evolve, these models will play a crucial role in shaping the future of technology.
Google Colab
Our library provides training and inference for GPT models up to GPT3 sizes on both TPUs and GPUs. In this notebook we walk you through TPU training (or finetuning!) and sampling using the...
GPT-Neo | Discover AI use cases - GPT-3 Demo
GPT-Neo is the name of the codebase for transformer-based language models loosely styled around the GPT architecture. An implementation of model & data parallel GPT2 & GPT3 -like models, with the ability to scale up to full GPT3 sizes* (and possibly more!), using the mesh-tensorflow library.
- 某些结果已被删除