| --- |
| license: apache-2.0 |
| language: |
| - hu |
| - en |
| - zh |
| tags: |
| - puli |
| --- |
| |
| # PULI Trio Q 7B base (7.62B billion parameter) |
|
|
|
|
| - Trained with LLaMA-Factory [github](https://github.com/hiyouga/LLaMA-Factory) |
| - The [Qwen2.5 7B Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) model were continual pretrained on Hungarian dataset |
|
|
| ## Dataset for continued pretraining |
|
|
| - Hungarian (8.7 billion words): documents (763K) that exceed 5000 words in length + Hungarian Wikipedia and news |
| - English: Long Context QA (1 billion words), BookSum (42 million words) |
| - Chinese (3 billion Chinese characters): Wudao |
|
|
| - The training was completed using a Hungarian-only dataset: |
| - 626 million Hungarian words (**1 epoch**): Hungarian Wikipedia + News articles |
|
|
| ## Limitations |
|
|
| - max_seq_length = 32 768 |
|
|
|
|
| ## Usage with pipeline |
|
|
| ```python |
| from transformers import pipeline, Qwen2ForCausalLM, AutoTokenizer |
| |
| model = Qwen2ForCausalLM.from_pretrained("NYTK/PULI-Trio-Q") |
| tokenizer = AutoTokenizer.from_pretrained("NYTK/PULI-Trio-Q") |
| prompt = "Elmesélek egy történetet a nyelvtechnológiáról." |
| generator = pipeline(task="text-generation", model=model, tokenizer=tokenizer, device=0) |
| |
| print(generator(prompt, max_new_tokens=30)[0]["generated_text"]) |
| ``` |
|
|
| ## Citation |
| If you use this model, please cite the following paper: |
|
|
| ``` |
| @article{chatpuli, |
| title={ChatPULI: Enhancement to the first Hungarian conversational model}, |
| author={Yang, Zijian Győző and Bánfi, Ágnes and Dodé, Réka and Ferenczi, Gergő and Földesi, Flóra and Hatvani, Péter and Héja, Enikő and Lengyel, Mariann and Madarász, Gábor and Osváth, Mátyás and Sárossy, Bence and Varga, Kristóf and Váradi, Tamás and Prószéky, Gábor and Ligeti-Nagy, Noémi}, |
| journal={Annales Mathematicae et Informaticae}, |
| doi = {https://doi.org/10.33039/ami.2025.10.010}, |
| url = {https://ami.uni-eszterhazy.hu}, |
| year={2025}, |
| volume={61}, |
| pages={261–-274} |
| } |
| ``` |
