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arxiv: 2311.02945 · v3 · pith:WTINJLIYnew · submitted 2023-11-06 · 💻 cs.CL

PhoGPT: Generative Pre-training for Vietnamese

classification 💻 cs.CL
keywords modelphogptphogpt-4bvietnamesebasechatgenerativemodels
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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. In addition, we also demonstrate its superior performance compared to previous open-source models. Our PhoGPT models are available at: https://github.com/VinAIResearch/PhoGPT

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. BamiBERT: A New BERT-based Language Model for Vietnamese

    cs.CL 2026-07 unverdicted novelty 5.0

    BamiBERT is a new base-sized Vietnamese BERT model trained on raw text that outperforms PhoBERT on 11 of 15 metrics across 8 benchmarks.