Model Type | |
Use Cases |
Areas: | Research, Commercial applications |
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Applications: | Chatbot, Customer service, Multilingual communication |
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Limitations: | Not suitable for critical or high-stakes situations |
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Considerations: | Users should be aware of the model's limitations and exercise caution in sensitive areas |
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Supported Languages | zh (Proficient), en (Proficient), fr (Proficient), de (Proficient), ja (Proficient), ko (Proficient), it (Proficient), fi (Proficient) |
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Training Details |
Methodology: | Multilingual dataset training using the tokenizer from Yi-34B-32K |
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Input Output |
Input Format: | Uses special tokens like <|role|>, <|says|> |
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Accepted Modalities: | |
Output Format: | |
Performance Tips: | Use fast tokenizer from `transformers` enabled by default |
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