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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