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--- |
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license: cc-by-nc-4.0 |
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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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![OrcaHermes](https://huggingface.co/cookinai/OrcaHermes-Mistral-70B-miqu/resolve/main/converted_image.png) |
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# OrcaHermes-Mistral-70B |
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This model was created by SLERP Merging 2 Miqu Models trained on 2 high preforming datsets. |
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Just an experiment, have not seen much miqu slerps yet. |
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### Models Merged |
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The following models were included in the merge: |
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[alicecomfy/miqu-openhermes-full](https://huggingface.co/alicecomfy/miqu-openhermes-full) |
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- Base Miqu Trained on [Openhermes](https://huggingface.co/datasets/teknium/OpenHermes-2.5) |
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[ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full) |
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- Base Miqu Trained on [Slimorca](https://huggingface.co/datasets/Open-Orca/SlimOrca) |
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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: local//path//to//Senku-70B-Full |
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layer_range: [0, 80] |
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- model: local//path//to//miqu-openhermes-full |
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layer_range: [0, 80] |
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merge_method: slerp |
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base_model: local//path//to//Senku-70B-Full |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 # fallback for rest of tensors |
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dtype: float16 |
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``` |
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