| base_model: mlabonne/Marcoro14-7B-slerp | |
| experts: | |
| - source_model: openchat/openchat-3.5-1210 | |
| positive_prompts: | |
| - "chat" | |
| - "assistant" | |
| - "tell me" | |
| - "explain" | |
| - source_model: Weyaxi/Einstein-v4-7B | |
| positive_prompts: | |
| - "physics" | |
| - "biology" | |
| - "chemistry" | |
| - "science" | |
| - source_model: BioMistral/BioMistral-7B | |
| positive_prompts: | |
| - "medical" | |
| - "pubmed" | |
| - "healthcare" | |
| - "health" | |
| - source_model: beowolx/CodeNinja-1.0-OpenChat-7B | |
| positive_prompts: | |
| - "code" | |
| - "python" | |
| - "javascript" | |
| - "programming" | |
| - "algorithm" | |
| - source_model: maywell/PiVoT-0.1-Starling-LM-RP | |
| positive_prompts: | |
| - "storywriting" | |
| - "write" | |
| - "scene" | |
| - "story" | |
| - "character" | |
| - source_model: WizardLM/WizardMath-7B-V1.1 | |
| positive_prompts: | |
| - "reason" | |
| - "math" | |
| - "mathematics" | |
| - "solve" | |
| - "count" | |
| tokenizer_source: union | |