Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
large language model
|
| gptkbp:author |
gptkb:Stanford_Center_for_Research_on_Foundation_Models
|
| gptkbp:basedOn |
gptkb:LLaMA
|
| gptkbp:citation |
2023
Stanford Alpaca: An Instruction-following LLaMA Model |
| gptkbp:developedBy |
gptkb:Stanford_University
|
| gptkbp:fineTunedWith |
gptkb:LLaMA-7B
|
| gptkbp:hasModel |
fine-tuned language model
|
| https://www.w3.org/2000/01/rdf-schema#label |
Stanford Alpaca
|
| gptkbp:language |
English
|
| gptkbp:license |
non-commercial research
|
| gptkbp:notableFor |
demonstrating low-cost instruction tuning
|
| gptkbp:openSource |
yes
|
| gptkbp:parameter |
7 billion
|
| gptkbp:purpose |
instruction-following
|
| gptkbp:releaseDate |
2023
|
| gptkbp:trainer |
instruction-following data generated by OpenAI's text-davinci-003
|
| gptkbp:website |
https://crfm.stanford.edu/2023/03/13/alpaca.html
|
| gptkbp:bfsParent |
gptkb:Percy_Liang
|
| gptkbp:bfsLayer |
6
|