| Model Type | | Causal language model, Fine-tuned for tool use | 
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| Use Cases | 
| Areas: | | Research, Development in tool use and function calling | 
 |  | Applications: | | API interactions, Structured data manipulation, Complex tool use | 
 |  | Limitations: | | May still produce inaccurate or biased content in some cases | 
 |  | Considerations: | | Users are responsible for implementing appropriate safety measures for their specific use case | 
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| Supported Languages | | English (High Proficiency) | 
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| Training Details | 
| Methodology: | | Full fine-tuning and Direct Preference Optimization (DPO) on Llama 3 8B base model | 
 |  | Model Architecture: |  |  | 
| Responsible Ai Considerations | 
| Mitigation Strategies: | | Implement appropriate safety measures for specific use cases | 
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| Input Output | 
| Input Format: |  |  | Output Format: | | Text with enhanced capabilities for tool use and function calling | 
 |  | Performance Tips: | | Sensitive to the temperature and top_p sampling configuration. Start at temperature=0.5, top_p=0.65 and move up or down as needed | 
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