models: | |
- model: grimjim/mistralai-Mistral-Nemo-Instruct-2407 | |
parameters: | |
density: 0.2 | |
weight: 0.23 | |
- model: nbeerbower/mistral-nemo-bophades-12B | |
parameters: | |
density: 0.2 | |
weight: 0.43 | |
- model: nbeerbower/mistral-nemo-gutenberg-12B-v4 | |
parameters: | |
density: 0.2 | |
weight: 0.43 | |
- model: TheDrummer/UnslopNemo-12B-v4.1 | |
parameters: | |
density: 0.5 | |
weight: 0.63 | |
merge_method: task_arithmetic | |
base_model: NewEden/nemo-erebus | |
parameters: | |
normalize: false | |
int8_mask: true | |
dtype: bfloat16 | |
layer_parameters: | |
- range: [0, 10] | |
density_multiplier: 1.2 | |
- range: [10, 20] | |
density_multiplier: 1.0 | |
- range: [20, 30] | |
density_multiplier: 0.8 | |
- range: [30, 40] | |
density_multiplier: 0.6 | |
regularization: | |
- method: gradient_penalty | |
scale: 0.05 | |
- method: weight_clipping | |
clip_range: [-0.2, 0.2] | |
- method: random_noise | |
scale: 0.01 | |
- method: attention_dropout | |
scale: 0.1 | |
postprocessing: | |
- operation: entropy_regularization | |
scale: 0.05 | |
- operation: non_linear_scaling | |
parameters: | |
function: tanh | |
- operation: sharpening | |
intensity: 0.5 | |
- operation: gaussian_smoothing | |
sigma: 1.5 | |
- operation: normalize | |
- operation: dynamic_scaling | |
scale_range: [0.8, 1.2] | |
- operation: smoothing | |
parameters: | |
adaptive: true | |
range: [0.85, 1.15] | |
kernel_size: 5 |