Model Type | Transformer-based autoregressive language model |
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Use Cases |
Areas: | research and experimentation with Open LLMs |
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Applications: | Conversational agents, Interactive storytelling, Educational tool |
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Limitations: | biases present in its training data |
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Considerations: | Users should be aware of these potential biases and limitations. |
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Additional Notes | Model fine-tuned specifically for interactive chatting applications |
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Supported Languages | |
Training Details |
Data Sources: | |
Data Volume: | 52K instruction-following demonstrations |
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Methodology: | |
Context Length: | |
Model Architecture: | |
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Input Output |
Input Format: | |
Accepted Modalities: | |
Output Format: | |
Performance Tips: | Fine-tuned for chatting, ensure input format aligns with expectations |
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