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--- |
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base_model: |
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- elinas/Chronos-Gold-12B-1.0 |
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- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2 |
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- nbeerbower/Mistral-Nemo-Prism-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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Model details: |
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- |
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This is definately not perfect, but it does feel pretty close. |
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Feedback is welcome, as always. |
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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 Method |
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [nbeerbower/Mistral-Nemo-Prism-12B](https://huggingface.co/nbeerbower/Mistral-Nemo-Prism-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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* [elinas/Chronos-Gold-12B-1.0](https://huggingface.co/elinas/Chronos-Gold-12B-1.0) |
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* [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2) |
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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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models: |
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- model: nbeerbower/Mistral-Nemo-Prism-12B |
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#no parameters necessary for base model |
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- model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2 |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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- model: elinas/Chronos-Gold-12B-1.0 |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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merge_method: ties |
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base_model: nbeerbower/Mistral-Nemo-Prism-12B |
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parameters: |
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normalize: false |
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int8_mask: true |
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dtype: float16 |
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``` |
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