| Model Type | | text generation, function calling, structured output |
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| Use Cases |
| Areas: | | research, chat applications, function calling assistance |
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| Applications: | | educational tools, AI alignment research, assistive chatbots |
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| Primary Use Cases: | | multi-turn dialogue, function calling, structured JSON outputs |
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| Limitations: | | May require technical setup for function calling, not suitable for standalone commercial use without integrations |
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| Additional Notes | | Functionalities optimized for specific application integrations (i.e., on GUI like LM-Studio). |
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| Supported Languages | |
| Training Details |
| Data Sources: | |
| Methodology: | | Usage of special system prompts and function calling structure |
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| Context Length: | |
| Hardware Used: | | OpenVINO IR with int8 quantization |
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| Model Architecture: | | LLama-3 based with function calling features |
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| Safety Evaluation |
| Methodologies: | | evaluation in partnership with Fireworks.AI |
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| Risk Categories: | |
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| Responsible Ai Considerations |
| Transparency: | | Model is open and accessible via repository. |
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| Accountability: | | Model creators: Nous Research, Fireworks.AI, etc. |
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| Input Output |
| Input Format: | | ChatML for multi-turn dialogue |
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| Accepted Modalities: | |
| Output Format: | | Structured outputs; Function calling responses; Natural language text |
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| Performance Tips: | | Incorporate system prompts for improved tuneability and control. |
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