LumiOpenPoro 2

Poro 2 8B Instruct

Poro 2 8B Instruct is the Finnish and English conversation release built from the Llama 3.1-based Poro 2 model. It adds supervised instruction training and Direct Preference Optimization.

Model design and training

The instruction phase uses about 1.4 million examples, including bilingual Tulu prompts with Llama 3.3 70B responses, Magpie conversations and EuroParl translation pairs. DPO uses HelpSteer3. Its Llama 3.3 license is a release-specific condition; the underlying architecture remains based on Llama 3.1.Llama-Poro-2-8B-Instruct: official model card

Practical assessment

Practical guidance. This is a practical starting point for a local Finnish assistant when the smaller size is suitable. Evaluate citations, extracted fields and translations independently. Instruction-following gains do not establish that the model has current factual knowledge.

Specifications & access

Poro 2 8B Instruct specifications
DetailValue and conditions
AccessDownloadable
Model identifiersLlama-Poro-2-8B-Instruct
Context window8,192 tokens

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

Llama-Poro-2-8B-Instruct: official model card
Model size8.03 billion parameters; 32 decoder layers.Llama-Poro-2-8B-Instruct: official model card
LicenseLlama 3.3 Community License.Llama-Poro-2-8B-Instruct: official model card

Related models

  • A Finnish and English instruction model derived from the context-extended Poro 2 base.

    Launch date not confirmedDownloadable
  • An intermediate instruction-tuned Poro 2 8B checkpoint before the final preference-training stage.

    Launch date not confirmedResearch releaseDownloadable