| models: | |
| - model: NousResearch/Meta-Llama-3-8B | |
| # No parameters necessary for base model | |
| - model: NousResearch/Meta-Llama-3-8B-Instruct | |
| parameters: | |
| density: 0.6 | |
| weight: 0.5 | |
| - model: mlabonne/OrpoLlama-3-8B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.05 | |
| - model: cognitivecomputations/dolphin-2.9-llama3-8b | |
| parameters: | |
| density: 0.55 | |
| weight: 0.05 | |
| - model: Danielbrdz/Barcenas-Llama3-8b-ORPO | |
| parameters: | |
| density: 0.55 | |
| weight: 0.2 | |
| - model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct | |
| parameters: | |
| density: 0.55 | |
| weight: 0.1 | |
| - model: vicgalle/Configurable-Llama-3-8B-v0.3 | |
| parameters: | |
| density: 0.55 | |
| weight: 0.05 | |
| - model: MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.3 | |
| parameters: | |
| density: 0.55 | |
| weight: 0.05 | |
| merge_method: dare_ties | |
| base_model: NousResearch/Meta-Llama-3-8B | |
| parameters: | |
| int8_mask: true | |
| dtype: float16 | |