Model Type | instruct, chatml, DPO, RLHF, gpt4 synthetic data, distillation, function calling, json mode |
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Use Cases |
Areas: | research, commercial applications |
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Applications: | chatbots, instruction following, function calling |
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Primary Use Cases: | multi-turn chat dialogue, function calling, structured JSON responses |
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Limitations: | Complexity in function calling setup |
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Considerations: | Consider special tokens and role formats when setting up prompts. |
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Additional Notes | Quantized versions available using GGUF. |
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Supported Languages | |
Training Details |
Data Sources: | |
Data Volume: | |
Methodology: | Merged and further RLHF'ed version combining Hermes 2 Pro and Meta's Llama-3 Instruct |
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Context Length: | |
Training Time: | |
Model Architecture: | Hermes-2 ฮ is a merged model combining Hermes 2 Pro and Meta's Llama-3 Instruct. |
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Input Output |
Input Format: | ChatML format with system and user roles defined |
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Accepted Modalities: | |
Output Format: | Text responses, structured JSON |
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Performance Tips: | Utilize ChatML or the prompt structure for function calling for optimal engagement. |
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Release Notes |
Version: | |
Date: | |
Notes: | Merged model of Hermes 2 Pro and Meta's Llama-3 with enhancements for instruct and chat applications. |
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