--- license: cc-by-nc-4.0 language: - en - de - fr - zh - pt - nl - ru - ko - it - es metrics: - comet pipeline_tag: translation --- # Model Card for TowerBase-7B-v0.1 ## Model Details ### Model Description TowerBase-7B is a language model that results from continuing the pretraining of Llama 2 on a mix of 20 billion tokens of monolingual data from non-English languages, and bilingual data. TowerBase-7B-v0.1 is the first model in the series. The resulting model shows improved performance on the supported languages, while maintaining Llama's capabilities on English. It is particularly well-suited for fine-tuning on translation and related tasks: check out [TowerInstruct](https://huggingface.co/Unbabel/TowerInstruct-7B-v0.1) We will release more details in the upcoming technical report. - **Developed by:** Unbabel, Instituto Superior Técnico, CentraleSupélec University of Paris-Saclay - **Model type:** A 7B parameter model built on top of Llama 2 by continuing pretraining on multilingual data. - **Language(s) (NLP):** English, Portuguese, Spanish, French, German, Dutch, Italian, Korean, Chinese, Russian - **License:** CC-BY-NC-4.0 ## Intended uses & limitations The model is intended for research purposes in the 10 languages it supports. The model is able to perform well on translation and related tasks (e.g., APE, GEC) on a few-shot regime. It can also be fine-tuned to perform these tasks in a zero-shot fashion (see [TowerInstruct](https://huggingface.co/Unbabel/TowerInstruct-7B-v0.1), as well as other multilingual tasks. ### Out-of-Scope Use The model is not guaranteed to perform well for languages other than the 10 languages it supports. ## Bias, Risks, and Limitations TowerBase-v0.1 has not been aligned to human preferences, so the model may generate problematic outputs (e.g., hallucinations, harmful content, or false statements). ## Citation To be completed.