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--- |
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base_model: |
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- Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss |
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- jondurbin/bagel-dpo-8x7b-v0.2 |
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- NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss |
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license: cc-by-nc-4.0 |
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tags: |
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- not-for-all-audiences |
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- nsfw |
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- mergekit |
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- merge |
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--- |
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# BagelMix |
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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 [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2) 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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* [Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss](https://huggingface.co/Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss) |
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* [NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss](https://huggingface.co/NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss) |
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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: jondurbin/bagel-dpo-8x7b-v0.2 |
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parameters: |
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density: 1.0 |
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weight: 1.0 |
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- model: Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss |
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parameters: |
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density: 0.5 |
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weight: [0.33, 0.4, 0.33] |
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- model: NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss |
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parameters: |
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density: [0.33, 0.45, 0.66] |
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weight: 0.66 |
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merge_method: dare_ties |
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base_model: jondurbin/bagel-dpo-8x7b-v0.2 |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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tokenizer_source : union |
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``` |
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If you want to support me, you can [here](https://ko-fi.com/undiai). |
