---
license: apache-2.0
language:
- nb
- nn
- 'no'
- en
base_model:
- norallm/normistral-11b-llong
library_name: transformers
pipeline_tag: text-generation
tags:
- translation
- norwegian
- english
- bokmaal
- nynorsk
---

![](https://huggingface.co/norallm/normistral-11b-warm/resolve/main/images/puffin_2.png)


**NorMistral-11b-translate** is a finetuned machine-translation version of [NorMistral-11b-long](https://huggingface.co/norallm/normistral-11b-long). It can translate sentences or documents in all 6 directions between Norwegian Bokmål, Nynorsk and English.


## License

We release the model under Apache 2.0 license to indicate that we do not impose any additional constraints on the model weights.
However, we do not own the data in the training collection.


## Usage

```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

# load the NorMistral tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("norallm/normistral-11b-translate")
model = AutoModelForCausalLM.from_pretrained(
    "norallm/normistral-11b-translate",
    device_map='auto',
    torch_dtype=torch.bfloat16
)

# create a conversation and convert it to token indices using the NorMistral chat template
messages = [
    {"role": "system", "content": "nynorsk"},  # Optional message to set the target language for translation; "engelsk" by default, "bokmål" and "nynorsk" are supported
    {"role": "user", "content": "Hva er hovedstaden i Norge?"}
]
input_tokens = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)

# run the generation (customizable via the various parameters)
output_tokens = model.generate(
    input_tokens,
    max_new_tokens=2048,  # limit max number of generated tokens
    do_sample=False  # do not randomly sample the outputs
)

# decode the generated tokens back to text; should return "Kva er hovudstaden i Noreg?"
output_str = tokenizer.decode(output_tokens[0, input_tokens.size(1):], skip_special_tokens=True).strip()
```


## Training data

The full training corpus is published as [`ltg/nob-nno-eng-translation-pairs`](https://huggingface.co/datasets/ltg/nob-nno-eng-translation-pairs).

## Contact

David Samuel (davisamu@ifi.uio.no)

## License

```bibtex
@inproceedings{samuel-etal-2025-small,
    title = "Small Languages, Big Models: {A} Study of Continual Training on Languages of {Norway}",
    author = "Samuel, David  and
      Mikhailov, Vladislav  and
      Velldal, Erik  and
      {\O}vrelid, Lilja  and
      Charpentier, Lucas Georges Gabriel  and
      Kutuzov, Andrey  and
      Oepen, Stephan",
    editor = "Johansson, Richard  and
      Stymne, Sara",
    booktitle = "Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)",
    month = mar,
    year = "2025",
    address = "Tallinn, Estonia",
    publisher = "University of Tartu Library",
    url = "https://aclanthology.org/2025.nodalida-1.61/",
    pages = "573--608",
    ISBN = "978-9908-53-109-0",
}
```