norallm
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norbloom-7b-scratch

Text Generation

Norwegian Bokmål

Norwegian Nynorsk

feature-extraction

text-generation-inference

Inference Endpoints

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oepen commited on Feb 5

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@@ -22,7 +22,7 @@ datasets:
 NorBLOOM-7b-scratch is a large Norwegian language model pretrained from scratch on a total of 260 billion subword tokens (using six repetitions of open Norwegian texts).
-This model is a part of the NORA-LLM family developed in collaboration between [the Language Technology Group at the University of Oslo](https://huggingface.co/ltg), [the High Performance Language Technologies (HPLT) project team](https://hplt-project.org/), [the National Library of Norway](https://huggingface.co/NbAiLab), and [the University of Turku](https://huggingface.co/TurkuNLP).
 All the models are pre-trained on the same dataset and with the same tokenizer.
 NorBLOOM-7b-scratch has around 7 billion parameters and is based on [the BLOOM architecture](https://arxiv.org/abs/2211.05100).

 NorBLOOM-7b-scratch is a large Norwegian language model pretrained from scratch on a total of 260 billion subword tokens (using six repetitions of open Norwegian texts).
+This model is a part of the NORA-LLM family developed in collaboration between [the Language Technology Group at the University of Oslo](https://huggingface.co/ltg), [the High Performance Language Technologies (HPLT) project](https://hplt-project.org/), [the National Library of Norway](https://huggingface.co/NbAiLab), and [the University of Turku](https://huggingface.co/TurkuNLP).
 All the models are pre-trained on the same dataset and with the same tokenizer.
 NorBLOOM-7b-scratch has around 7 billion parameters and is based on [the BLOOM architecture](https://arxiv.org/abs/2211.05100).