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README.md
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---
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base_model:
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- NeverSleep/Noromaid-13B-0.4-DPO
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- cgato/Thespis-13b-DPO-v0.7
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- KoboldAI/LLaMA2-13B-Estopia
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- Doctor-Shotgun/cat-v1.0-13b
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- BlueNipples/TimeCrystal-l2-13B
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- TheBloke/Llama-2-13B-fp16
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tags:
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- mergekit
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- merge
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---
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# EstopianMaid
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit) by Katy.
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## Merge Details
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### Merge Method
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This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16) 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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* [NeverSleep/Noromaid-13B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-13B-0.4-DPO)
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* [cgato/Thespis-13b-DPO-v0.7](https://huggingface.co/cgato/Thespis-13b-DPO-v0.7)
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* [KoboldAI/LLaMA2-13B-Estopia](https://huggingface.co/KoboldAI/LLaMA2-13B-Estopia)
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* [Doctor-Shotgun/cat-v1.0-13b](https://huggingface.co/Doctor-Shotgun/cat-v1.0-13b)
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* [BlueNipples/TimeCrystal-l2-13B](https://huggingface.co/BlueNipples/TimeCrystal-l2-13B)
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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: TheBloke/Llama-2-13B-fp16
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dtype: float16
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merge_method: task_arithmetic
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slices:
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- sources:
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- layer_range: [0, 40]
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model: TheBloke/Llama-2-13B-fp16
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- layer_range: [0, 40]
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model: BlueNipples/TimeCrystal-l2-13B
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parameters:
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weight: 0.75
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- layer_range: [0, 40]
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model: cgato/Thespis-13b-DPO-v0.7
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parameters:
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weight: 0.23
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- layer_range: [0, 40]
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model: KoboldAI/LLaMA2-13B-Estopia
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parameters:
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weight: 0.15
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- layer_range: [0, 40]
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model: NeverSleep/Noromaid-13B-0.4-DPO
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parameters:
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weight: 0.2
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- layer_range: [0, 40]
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model: Doctor-Shotgun/cat-v1.0-13b
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parameters:
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weight: 0.03
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```
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