---
license: cc-by-nc-sa-4.0
language:
- 'no'
---

Gnerative Pretrained Tranformer with 3 Billion parameters for Norwegian.

It belongs to NorGLM, a suite of pretrained Norwegian Generative Language Models (NorGLMs). The model is based on GPT2 architecture. 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/NorGPT-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 paper:

```
@article{liu2023nlebench+,
  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 Nissen and Lauvrak, Even W and Ingvaldsen, Jon Espen and Eide, Simen and Gulla, Jon Atle and Yang, Zhirong},
  journal={arXiv preprint arXiv:2312.01314},
  year={2023}
}
```