| models: | |
| - model: cognitivecomputations/Dolphin3.0-Mistral-24B | |
| parameters: | |
| density: 0.4 | |
| weight: 0.6 | |
| - model: baconnier/Napoleon_24B_V0.0 | |
| parameters: | |
| density: 0.4 | |
| weight: 0.4 | |
| merge_method: dare_ties | |
| base_model: cognitivecomputations/Dolphin3.0-Mistral-24B | |
| parameters: | |
| int8_mask: true | |
| normalize: true | |
| # CORRECTED: dtype must be top-level, not under parameters | |
| dtype: bfloat16 # Valid options: float16|bfloat16|float32 | |
| tokenizer_source: baconnier/Napoleon_24B_V0.0 | |