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--- |
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base_model: |
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- bamec66557/MISCHIEVOUS-12B-Mix_0.4v |
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- Infermatic/MN-12B-Inferor-v0.1 |
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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/MISCHIEVOUS-12B-Mix_0.4v](https://huggingface.co/bamec66557/MISCHIEVOUS-12B-Mix_0.4v) |
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* [Infermatic/MN-12B-Inferor-v0.1](https://huggingface.co/Infermatic/MN-12B-Inferor-v0.1) |
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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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slices: |
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- sources: |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v |
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layer_range: [0, 20] |
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- model: Infermatic/MN-12B-Inferor-v0.1 |
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layer_range: [0, 20] |
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parameters: |
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t: |
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- value: 0.8 |
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- sources: |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v |
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layer_range: [20, 40] |
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- model: Infermatic/MN-12B-Inferor-v0.1 |
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layer_range: [20, 40] |
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parameters: |
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t: |
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- value: 1.0 |
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- filter: self_attn |
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value: [0.8, 0.9, 1.0, 1.1, 1.2] |
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merge_method: slerp # Preserve merge method |
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base_model: bamec66557/MISCHIEVOUS-12B-Mix_0.4v # Base model |
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dtype: bfloat16 # Data types for fast merges |
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# Additional options |
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regularization: |
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- method: weight_clipping |
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clip_range: [-0.1, 0.1] |
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postprocessing: |
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- operation: gaussian_smoothing |
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sigma: 1.5 # Gaussian smoothing intensity |
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- operation: smoothing |
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parameters: |
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adaptive: true |
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range: [0.8, 1.2] # Adaptively adjust |
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kernel_size: 5 # Smoothing larger ranges with increased kernel size |
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- operation: normalize # Normalise after merge |
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``` |
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