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+ ---
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+ base_model:
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+ - cgato/Thespis-CurtainCall-7b-v0.2.2
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+ - mistralai/Mistral-7B-v0.1
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+ - tavtav/eros-7b-test
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+ - cgato/Thespis-7b-v0.5-SFTTest-2Epoch
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+ - NeverSleep/Noromaid-7B-0.4-DPO
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+ - NurtureAI/neural-chat-7b-v3-1-16k
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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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+ # LemonadeRP-4.5.3
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+
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+ This is a merge of pre-trained language models created by KatyTheCutie
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [cgato/Thespis-CurtainCall-7b-v0.2.2](https://huggingface.co/cgato/Thespis-CurtainCall-7b-v0.2.2)
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+ * [tavtav/eros-7b-test](https://huggingface.co/tavtav/eros-7b-test)
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+ * [cgato/Thespis-7b-v0.5-SFTTest-2Epoch](https://huggingface.co/cgato/Thespis-7b-v0.5-SFTTest-2Epoch)
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+ * [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
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+ * [NurtureAI/neural-chat-7b-v3-1-16k](https://huggingface.co/NurtureAI/neural-chat-7b-v3-1-16k)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ base_model: mistralai/Mistral-7B-v0.1
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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, 32]
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+ model: mistralai/Mistral-7B-v0.1
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+ - layer_range: [0, 32]
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+ model: NeverSleep/Noromaid-7B-0.4-DPO
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+ parameters:
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+ weight: 0.37
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+ - layer_range: [0, 32]
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+ model: cgato/Thespis-CurtainCall-7b-v0.2.2
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+ parameters:
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+ weight: 0.32
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+ - layer_range: [0, 32]
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+ model: NurtureAI/neural-chat-7b-v3-1-16k
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+ parameters:
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+ weight: 0.15
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+ - layer_range: [0, 32]
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+ model: cgato/Thespis-7b-v0.5-SFTTest-2Epoch
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+ parameters:
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+ weight: 0.38
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+ - layer_range: [0, 32]
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+ model: tavtav/eros-7b-test
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+ parameters:
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+ weight: 0.18
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+ ```