Model Type | auto-regressive language model |
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Use Cases |
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Limitations: | It may produce inaccurate, biased, or otherwise objectionable outputs |
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Considerations: | Thorough safety testing and tuning is recommended before deployment. |
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Supported Languages | |
Training Details |
Data Sources: | |
Methodology: | |
Context Length: | |
Model Architecture: | Optimized transformer decoder architecture using variable Grouped-Query Attention |
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Safety Evaluation |
Ethical Considerations: | DeciLM-7B's outputs may be unpredictable, and the model may generate responses that are inaccurate, biased, or objectionable. |
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Input Output |
Input Format: | System: {system_prompt} User: {user_prompt} Assistant: |
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Accepted Modalities: | |
Output Format: | |
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