| Model Type | | auto-regressive, multilingual |
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| Use Cases |
| Areas: | | Research, Multilingual tasks |
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| Primary Use Cases: | | Reasoning, Summarization, Question Answering |
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| Additional Notes | | Experimentation with prompt templates is encouraged. |
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| Supported Languages | | English (advanced), French (advanced), German (advanced), Spanish (advanced), Italian (advanced), Portuguese (Brazil) (advanced), Japanese (advanced), Korean (advanced), Chinese (Simplified) (advanced), Arabic (advanced) |
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| Training Details |
| Data Sources: | | English, French, Spanish, Italian, German, Brazilian Portuguese, Japanese, Korean, Simplified Chinese, Arabic, Russian, Polish, Turkish, Vietnamese, Dutch, Czech, Indonesian, Ukrainian, Romanian, Greek, Hindi, Hebrew, Persian |
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| Methodology: | | Supervised fine-tuning (SFT) and preference training. |
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| Context Length: | |
| Model Architecture: | | Optimized transformer architecture. |
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| Safety Evaluation |
| Ethical Considerations: | | Instructions to not answer harmful or immoral questions. |
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| Input Output |
| Input Format: | |
| Accepted Modalities: | |
| Output Format: | |
| Performance Tips: | | Deviating from the prompt template may reduce performance. |
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