| Model Type | | auto-regressive language model |
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| Use Cases |
| Areas: | |
| 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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