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--- |
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base_model: |
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- Sao10K/MN-12B-Lyra-v1 |
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- Nohobby/YetAnotherMerge-v0.1 |
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- Undi95/Lumimaid-Magnum-12B |
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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 one turned out really good imo. Works fine with the basic min-p settings, but I recommend using [this](https://huggingface.co/Nohobby/YetAnotherMerge-v0.3/resolve/main/Yamyam.json?download=true) preset I made. |
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[iMatrix GGUF](https://huggingface.co/mradermacher/YetAnotherMerge-v0.3-i1-GGUF) |
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[Static GGUF](https://huggingface.co/mradermacher/YetAnotherMerge-v0.3-GGUF) |
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## Merge Details |
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### Merge Method |
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This model was merged using the della merge method using [Undi95/Lumimaid-Magnum-12B](https://huggingface.co/Undi95/Lumimaid-Magnum-12B) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [Sao10K/MN-12B-Lyra-v1](https://huggingface.co/Sao10K/MN-12B-Lyra-v1) |
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* [Nohobby/YetAnotherMerge-v0.1](https://huggingface.co/Nohobby/YetAnotherMerge-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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base_model: Undi95/Lumimaid-Magnum-12B |
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parameters: |
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int8_mask: true |
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rescale: true |
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normalize: false |
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merge_method: della |
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dtype: bfloat16 |
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models: |
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- model: Sao10K/MN-12B-Lyra-v1 |
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parameters: |
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density: [0.4, 0.5, 0.6, 0.4, 0.6, 0.5, 0.4] |
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epsilon: [0.15, 0.15, 0.25, 0.15, 0.15] |
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lambda: 0.85 |
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weight: [0.6, 0.5, 0.4, 0.6, 0.4, 0.5, 0.6] |
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- model: Nohobby/YetAnotherMerge-v0.1 |
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parameters: |
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density: [0.45, 0.55, 0.45, 0.55, 0.45] |
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epsilon: [0.1, 0.1, 0.25, 0.1, 0.1] |
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lambda: 0.85 |
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weight: [0.55, 0.45, 0.55, 0.45, 0.55] |
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``` |
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