Model Type | Translation, Supervised fine-tuning |
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Use Cases |
Areas: | |
Applications: | Machine Translation, Automatic Post Edition, Grammatical Error Correction, Paraphrase Generation, Named-entity Recognition |
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Primary Use Cases: | Sentence-level Translation, Paragraph-level Translation, Context-aware Translation, Terminology-aware Translation |
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Limitations: | Not aligned to human preferences, may generate problematic outputs., Not intended for document-level translation |
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Additional Notes | Initially fine-tuned for translation-related tasks and augmented with conversational datasets and code instructions. |
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Supported Languages | English (High), Portuguese (High), Spanish (High), French (High), German (High), Dutch (High), Italian (High), Korean (High), Chinese (High), Russian (High) |
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Training Details |
Data Sources: | |
Methodology: | Fine-tuning TowerBase on publicly available and synthetic datasets specific to translation-related tasks. |
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Context Length: | |
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Input Output |
Input Format: | ChatML prompt templates without system prompts. |
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Output Format: | Generates translated text according to the user prompt. |
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