jonabur
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update for final checkpoint
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README.md
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# Viking 7B
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Viking 7B is a 7B parameter decoder-only transformer pretrained on Finnish, English, Swedish, Danish, Norwegian, Icelandic and code. It is being trained on 2 trillion tokens (1 trillion as of this release). Viking 7B is a fully open source model and is made available under the Apache 2.0 License.
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Viking was created in a collaboration between the [TurkuNLP group](https://turkunlp.org/) of the University of Turku, [SiloGen](https://www.silo.ai/silogen) from [Silo AI](https://www.silo.ai/),and [High Performance Language Technologies](https://hplt-project.org/) (HPLT). Training was conducted on the [LUMI supercomputer](https://www.lumi-supercomputer.eu/), using compute resources generously provided by [CSC](https://csc.fi/) - IT Center for Science, Finland.
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* [800B](https://huggingface.co/LumiOpen/Viking-7B/tree/800B)
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* [900B](https://huggingface.co/LumiOpen/Viking-7B/tree/900B)
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* [1000B](https://huggingface.co/LumiOpen/Viking-7B/tree/1000B)
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The transformers library allows you to load a checkpoint from a branch as follows:
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# Viking 7B
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Viking 7B is a 7B parameter decoder-only transformer pretrained on Finnish,
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English, Swedish, Danish, Norwegian, Icelandic and code. It has been trained
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on 2 trillion tokens. Viking 7B is a fully open source model and is made available under the Apache 2.0 License.
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Viking was created in a collaboration between the [TurkuNLP group](https://turkunlp.org/) of the University of Turku, [SiloGen](https://www.silo.ai/silogen) from [Silo AI](https://www.silo.ai/),and [High Performance Language Technologies](https://hplt-project.org/) (HPLT). Training was conducted on the [LUMI supercomputer](https://www.lumi-supercomputer.eu/), using compute resources generously provided by [CSC](https://csc.fi/) - IT Center for Science, Finland.
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* [800B](https://huggingface.co/LumiOpen/Viking-7B/tree/800B)
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* [900B](https://huggingface.co/LumiOpen/Viking-7B/tree/900B)
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* [1000B](https://huggingface.co/LumiOpen/Viking-7B/tree/1000B)
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* [1100B](https://huggingface.co/LumiOpen/Viking-7B/tree/1100B)
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* [1200B](https://huggingface.co/LumiOpen/Viking-7B/tree/1200B)
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* [1300B](https://huggingface.co/LumiOpen/Viking-7B/tree/1300B)
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* [1400B](https://huggingface.co/LumiOpen/Viking-7B/tree/1400B)
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* [1500B](https://huggingface.co/LumiOpen/Viking-7B/tree/1500B)
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* [1600B](https://huggingface.co/LumiOpen/Viking-7B/tree/1600B)
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* [1700B](https://huggingface.co/LumiOpen/Viking-7B/tree/1700B)
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* [1800B](https://huggingface.co/LumiOpen/Viking-7B/tree/1800B)
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* [1900B](https://huggingface.co/LumiOpen/Viking-7B/tree/1900B)
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* [2000B](https://huggingface.co/LumiOpen/Viking-7B/tree/2000B)
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The transformers library allows you to load a checkpoint from a branch as follows:
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