| slices: | |
| - sources: | |
| - model: cognitivecomputations/Dolphin3.0-Mistral-24B | |
| layer_range: [0, 39] # 40 layers (0-39) | |
| - model: baconnier/Napoleon_24B_V0.0 | |
| layer_range: [0, 39] | |
| merge_method: slerp | |
| base_model: cognitivecomputations/Dolphin3.0-Mistral-24B # Use one of the source models | |
| parameters: | |
| t: | |
| - filter: self_attn | |
| value: 0.5 | |
| - filter: mlp | |
| value: 0.5 | |
| - value: 0.5 | |
| dtype: float16 # Changed to float16 for wider compatibility | |
| tokenizer_source: baconnier/Napoleon_24B_V0.0 # Use Napoleon's tokenizer | |