Modelpublic

NorGLM/NorGPT-3B-continue

sourceHugging Facecc-by-nc-sa-4.0updated 9mo agoView on Hugging Face

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Model Card

Gnerative Pretrained Tranformer with 3 Billion parameters for Norwegian. The model is continue trained using NorGPT-3B model on a selective documents from the pretraining dataset, which includes news articles, parlamentary speech, books and govermental reports.

It belongs to NorGLM, a suite of pretrained Norwegian Generative Language Models. NorGLM can be used for non-commercial purposes.

Run the Model

python

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "NorGLM/NorGPT-3B-continue"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    device_map='auto',
    torch_dtype=torch.bfloat16
)

text = "Tom ønsket å gå på barene med venner"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=20)

Citation Information

If you feel our work is helpful, please cite our papers:

@article{gulla2026norwai,
  title={NorwAI's Large Language Models: Technical Report},
  author={Gulla, Jon Atle and Liu, Peng and Zhang, Lemei},
  journal={arXiv preprint arXiv:2601.03034},
  year={2026}
}

@inproceedings{liu2024nlebench+,
  title={NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian},
  author={Liu, Peng and Zhang, Lemei and Farup, Terje and Lauvrak, Even and Ingvaldsen, Jon and Eide, Simen and Gulla, Jon Atle and Yang, Zhirong},
  booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  pages={5543--5560},
  year={2024}
}