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README.md
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---
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base_model:
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- mistralai/Mixtral-8x7B-v0.1
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- mistralai/Mixtral-8x7B-Instruct-v0.1
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- jondurbin/bagel-dpo-8x7b-v0.2
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- Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
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- Sao10K/Sensualize-Mixtral-bf16
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tags:
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- mergekit
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- merge
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license: cc-by-nc-4.0
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---
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# BagelMIsteryTour-8x7B-GGUF
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These are GGUF quantized versions of [BagelMIsteryTour-8x7B](https://huggingface.co/ycros/BagelMIsteryTour-8x7B)
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Bagel, Mixtral Instruct, with extra spices. Give it a taste. Works with Alpaca prompt formats, though the Mistral format should also work.
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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/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-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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* [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
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* [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2)
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* [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora)
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* [Sao10K/Sensualize-Mixtral-bf16](https://huggingface.co/Sao10K/Sensualize-Mixtral-bf16)
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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: mistralai/Mixtral-8x7B-v0.1
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models:
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- model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
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parameters:
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density: 0.5
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weight: 0.2
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- model: Sao10K/Sensualize-Mixtral-bf16
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parameters:
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density: 0.5
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weight: 0.2
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- model: mistralai/Mixtral-8x7B-Instruct-v0.1
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parameters:
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density: 0.6
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weight: 1.0
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- model: jondurbin/bagel-dpo-8x7b-v0.2
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parameters:
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density: 0.6
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weight: 0.5
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merge_method: dare_ties
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dtype: bfloat16
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```
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