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It is a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. It behaves qualitatively similarly to OpenAI’s text-davinci-003, while being surprisingly small and easy/cheap to reproduce. | It is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. It is able to generate text in 46 natural languages and 13 programming languages. |
Instruction-following model;
Fine-tuned from a 7B LLaMA model on 52K instruction-following data
| Transformer-based language model;
Generate text in 46 natural languages and 13 programming languages |
Statistics | |
GitHub Stars 30.2K | GitHub Stars - |
GitHub Forks 4.0K | GitHub Forks - |
Stacks 0 | Stacks 5 |
Followers 0 | Followers 5 |
Votes 0 | Votes 0 |
Integrations | |

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