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--- |
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base_model: |
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- bamec66557/VICIOUS_MESH-12B-BETA |
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- bamec66557/VICIOUS_MESH-12B-OMEGA |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [bamec66557/VICIOUS_MESH-12B-BETA](https://huggingface.co/bamec66557/VICIOUS_MESH-12B-BETA) |
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* [bamec66557/VICIOUS_MESH-12B-OMEGA](https://huggingface.co/bamec66557/VICIOUS_MESH-12B-OMEGA) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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base_model: bamec66557/VICIOUS_MESH-12B-OMEGA |
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dtype: bfloat16 |
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merge_method: slerp |
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tokenizer_source: base |
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# Slices Configuration |
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slices: |
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- sources: |
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- model: bamec66557/VICIOUS_MESH-12B-OMEGA |
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layer_range: [0, 10] |
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- model: bamec66557/VICIOUS_MESH-12B-BETA |
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layer_range: [0, 10] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.5, 0.55, 0.6, 0.65, 0.7] |
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- name: mlp |
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value: [1.0, 1.05, 1.1, 1.15, 1.2] |
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- name: layer_norm |
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value: [0.9, 0.95, 1.0, 1.05, 1.1] |
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- sources: |
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- model: bamec66557/VICIOUS_MESH-12B-OMEGA |
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layer_range: [10, 20] |
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- model: bamec66557/VICIOUS_MESH-12B-BETA |
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layer_range: [10, 20] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.4, 0.45, 0.5, 0.55, 0.6] |
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- name: mlp |
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value: [1.1, 1.15, 1.2, 1.25, 1.3] |
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- name: layer_norm |
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value: [1.0, 1.05, 1.1, 1.15, 1.2] |
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- sources: |
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- model: bamec66557/VICIOUS_MESH-12B-OMEGA |
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layer_range: [20, 30] |
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- model: bamec66557/VICIOUS_MESH-12B-BETA |
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layer_range: [20, 30] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.6, 0.65, 0.7, 0.75, 0.8] |
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- name: mlp |
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value: [0.9, 0.95, 1.0, 1.05, 1.1] |
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- name: layer_norm |
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value: [0.85, 0.9, 0.95, 1.0, 1.05] |
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- sources: |
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- model: bamec66557/VICIOUS_MESH-12B-OMEGA |
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layer_range: [30, 40] |
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- model: bamec66557/VICIOUS_MESH-12B-BETA |
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layer_range: [30, 40] |
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parameters: |
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t: |
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- name: self_attn |
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value: [0.7, 0.75, 0.8, 0.85, 0.9] |
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- name: mlp |
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value: [0.8, 0.85, 0.9, 0.95, 1.0] |
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- name: layer_norm |
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value: [0.8, 0.85, 0.9, 0.95, 1.0] |
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# Regularization |
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regularization: |
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- method: gradient_penalty |
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scale: 0.05 # Increased influence for gradient control |
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- method: weight_clipping |
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clip_range: [-0.2, 0.2] # Broader clipping range for flexibility |
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- method: random_noise |
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scale: 0.01 # Stronger noise injection |
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- method: attention_dropout |
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scale: 0.1 # Higher dropout to reduce attention fixation |
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# Postprocessing |
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postprocessing: |
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- operation: entropy_regularization |
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scale: 0.05 # Stronger encouragement for diverse outputs |
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- operation: non_linear_scaling |
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parameters: |
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function: tanh |
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- operation: sharpening |
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intensity: 0.5 # Enhanced sharpening for precise outputs |
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- operation: gaussian_smoothing |
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sigma: 1.5 # Increased smoothing for stable outputs |
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- operation: normalize |
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- operation: dynamic_scaling |
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scale_range: [0.8, 1.2] # Expanded dynamic range for scaling |
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- operation: smoothing |
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parameters: |
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adaptive: true |
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range: [0.85, 1.15] # Wider adaptive smoothing range |
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kernel_size: 5 |
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``` |
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