LumiOpenViking

Viking 7B

Viking 7B is a base model pretrained on Finnish, English, Swedish, Danish, Norwegian, Icelandic and code. It uses a LLaMA-like architecture, not a claimed adaptation of Meta's released weights.

Model design and training

32 decoder layers. The card reports completion of two trillion training tokens. Viking uses rotary position embeddings and FlashAttention. The downloadable base is intended for further tuning. Training checkpoints and later packaging are grouped with the same size-specific release.Viking-7B: official model card

Practical assessment

Practical guidance. The smallest Viking release can serve as a baseline for Nordic-language adaptation. Compare terminology and spelling conventions separately for each language. Shared training does not establish equal performance across all six languages.

Specifications & access

Viking 7B specifications
DetailValue and conditions
AccessDownloadable
Model identifiersViking-7B
Context window4,096 tokens

Sequence length reported by this release's model card; this is not a guaranteed useful retrieval length.

Viking-7B: official model card
Model size7.55 billion parameters.Viking-7B: official model card
LicenseApache 2.0Viking-7B: official model card

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