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Use Cases |
Areas: | |
Limitations: | Use in languages other than English, Use violating laws or the Acceptable Use Policy |
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Considerations: | Developers should follow the Responsible Use Guide. |
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Additional Notes | Future versions will be released with improvements based on community feedback. |
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Supported Languages | English (High Proficiency), Other Languages (Not supported) |
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Training Details |
Data Sources: | Publicly available online data |
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Data Volume: | |
Methodology: | Pretrained and fine-tuned using SFT and RLHF |
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Context Length: | |
Hardware Used: | |
Model Architecture: | |
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Safety Evaluation |
Methodologies: | Evaluation on safety datasets like TruthfulQA and Toxigen |
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Findings: | The model carries risks of producing inaccurate or biased outputs. |
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Risk Categories: | Inaccurate Responses, Biased Outputs, Objectionable Responses |
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Ethical Considerations: | Developers should perform tailored safety testing before deployment. |
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Input Output |
Input Format: | |
Accepted Modalities: | |
Output Format: | |
Performance Tips: | Specific formatting needed for expected features, including INST and <> tags. |
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