| # PhoGPT: Generative Pre-training for Vietnamese | |
| We open-source a state-of-the-art 4B-parameter generative model series for Vietnamese, which includes the base pre-trained monolingual model PhoGPT-4B and its chat variant, PhoGPT-4B-Chat. The base model, PhoGPT-4B, with exactly 3.7B parameters, is pre-trained from scratch on a Vietnamese corpus of 102B tokens, with an 8192 context length, employing a vocabulary of 20480 token types. The chat variant, PhoGPT-4B-Chat, is the modeling output obtained by fine-tuning PhoGPT-4B on a dataset of 70K instructional prompts and their responses, along with an additional 290K conversations. We demonstrate its strong performance compared to previous closed-source and open-source 7B-parameter models. More details about the general architecture and experimental results of PhoGPT can be found in our [technical report](https://arxiv.org/abs/2311.02945): | |
| ``` | |
| @article{PhoGPT, | |
| title = {{PhoGPT: Generative Pre-training for Vietnamese}}, | |
| author = {Dat Quoc Nguyen and Linh The Nguyen and Chi Tran and Dung Ngoc Nguyen and Dinh Phung and Hung Bui}, | |
| journal = {arXiv preprint}, | |
| volume = {arXiv:2311.02945}, | |
| year = {2023} | |
| } | |
| ``` | |
| **Please CITE** our technical report when PhoGPT is used to help produce published results or is incorporated into other software. | |
| For further information or requests, please go to [PhoGPT's homepage](https://github.com/VinAIResearch/PhoGPT)! |