56 lines
1.4 KiB
Markdown
56 lines
1.4 KiB
Markdown
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---
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base_model:
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- flemmingmiguel/MBX-7B-v3
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- mlabonne/OmniBeagle-7B
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- mistralai/Mistral-7B-v0.1
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- vanillaOVO/supermario_v4
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tags:
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- mergekit
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- merge
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license: apache-2.0
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language:
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- en
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---
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# Macaroni V2 7B
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) 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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* [flemmingmiguel/MBX-7B-v3](https://huggingface.co/flemmingmiguel/MBX-7B-v3)
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* [mlabonne/OmniBeagle-7B](https://huggingface.co/mlabonne/OmniBeagle-7B)
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* [vanillaOVO/supermario_v4](https://huggingface.co/vanillaOVO/supermario_v4)
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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: mistralai/Mistral-7B-v0.1
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# no parameters necessary for base model
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- model: flemmingmiguel/MBX-7B-v3
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parameters:
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density: 0.7
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weight: 0.5
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- model: vanillaOVO/supermario_v4
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parameters:
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density: 0.7
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weight: 0.3
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- model: mlabonne/OmniBeagle-7B
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parameters:
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density: 0.5
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weight: 0.6
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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normalize: true
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dtype: float16
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```
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