| # Main configuration for merging pre-trained models | |
| models: | |
| # - model: Intel/neural-chat-7b-v3-3 | |
| # parameters: | |
| # density: 0.9 # High density since generally good for most tasks | |
| # weight: 0.4 # Lower weight compared to openchat due to slight inferiority | |
| - model: meta-math/MetaMath-Mistral-7B | |
| parameters: | |
| density: 0.6 # Moderate density focusing mainly on mathematical prowess | |
| weight: | |
| - filter: mlp | |
| value: 0.5 | |
| - value: 0 | |
| - model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser | |
| parameters: | |
| density: 0.8 # Balanced density emphasizing coding skills over chitchat | |
| weight: 0.4 # Slightly higher weight acknowledging superior coding ability | |
| base_model: Intel/neural-chat-7b-v3-3 | |
| merge_method: ties | |
| parameters: | |
| normalize: true | |
| int8_mask: false | |
| dtype: float16 |