Quantization made by Richard Erkhov.
gpt2-001 - GGUF
Original model description:
language:
- en
license: apache-2.0
library_name: transformers
datasets:
- Salesforce/wikitext
widget:
- text: 'The University of Tokyo is'
example_title: Explanation-001
- text: 'George Washington was'
example_title: Explanation-002
- text: 'On a shelf, there are three books: a gray book, a red book,'
example_title: StoryCompletion-001
- text: 'Once upon a time, '
example_title: Poem-001
Model Card for Model ID
A simple gpt2 (1.5B) trained on a single GPU. Wikitext was used for corpus, so it tends to output more natural answer in the form of explanation.
Model Details
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: Fumiya UCHIYAMA
- Funded by [optional]: Fumiya UCHIYAMA
- Shared by [optional]: Fumiya UCHIYAMA
- Model type: GPT2-XL
- Language(s) (NLP): English
- License: Apache 2.0
- Finetuned from model [optional]: None
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