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.
GPT Neo - Hugging Face
This example uses a random model as the real ones are all very big. To get proper results, you should use EleutherAI/gpt-neo-1.3B instead of EleutherAI/gpt-neo-1.3B. If you get out-of-memory when loading that checkpoint, you can try adding device_map="auto" in the from_pretrained call.
GitHub - EleutherAI/gpt-neo: An implementation of model ...
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 …
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 - 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.
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 - 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 ...
- 某些结果已被删除