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license: cc-by-nc-sa-4.0
language:
- 'no'
---
Gnerative Pretrained Tranformer with 3 Billion parameters for Norwegian. NorLlama-3B is based on Llama architechture, and pretrained on [Tencent Pre-training Framework](https://github.com/Tencent/TencentPretrain)
It belongs to NorGLM, a suite of pretrained Norwegian Generative Language Models. NorGLM can be used for non-commercial purposes.
## Datasets
All models in NorGLM are trained on 200G datasets, nearly 25B tokens, including Norwegian, Denish, Swedish, Germany and English.
## Run the Model
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "NorGLM/NorLlama-3B"
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}
}
``` |