| Model Type | |
| Use Cases |
| Areas: | | English and Chinese Multilingual Applications |
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| Applications: | |
| Primary Use Cases: | | Provides helpful and logical assistance |
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| Limitations: | | Inherent limitations include the potential for erroneous, offensive, or undesirable outputs. Not suitable for critical or high-stakes scenarios. |
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| Considerations: | | Do not use in situations leading to personal injury, property damage, or significant losses. |
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|
| Additional Notes | | Quantized in the unsloth way. |
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| Supported Languages | | English (proficient), Chinese (proficient) |
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| Training Details |
| Data Sources: | |
| Methodology: | | Quantized in the unsloth way |
|
|
| Responsible Ai Considerations |
| Fairness: | | Ensure responses are socially unbiased and positive in nature. |
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| Accountability: | | OpenBuddy team from https://openbuddy.ai, https://github.com/OpenBuddy/OpenBuddy |
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| Mitigation Strategies: | | OpenBuddy cannot access the internet and is designed to avoid harmful content. |
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|
| Input Output |
| Input Format: | | <|role|><role type><|says|><content><|end|> |
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| Accepted Modalities: | |
| Output Format: | | Textual conversational outputs |
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| Performance Tips: | | Use the fast tokenizer from `transformers`. |
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