| models: | |
| - model: Kukedlc/NeuralContamination-7B-ties | |
| parameters: | |
| density: [1, 0.7, 0.1] # density gradient | |
| weight: 1.0 | |
| - model: Kukedlc/NeuralTopBench-7B-ties | |
| parameters: | |
| density: 0.5 | |
| weight: [0, 0.3, 0.7, 1] # weight gradient | |
| - model: Gille/StrangeMerges_32-7B-slerp | |
| parameters: | |
| density: 0.33 | |
| weight: | |
| - filter: mlp | |
| value: 0.5 | |
| - value: 0 | |
| merge_method: ties | |
| base_model: Kukedlc/NeuralMaxime-7B-slerp | |
| parameters: | |
| normalize: true | |
| int8_mask: true | |
| dtype: bfloat16 | |