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--- |
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base_model: grimjim/lemonade-rebase-32k-7B |
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library_name: transformers |
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license: cc-by-4.0 |
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quanted_by: grimjim |
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pipeline_tag: text-generation |
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--- |
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# lemonade-rebase-32k-7B |
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This is Q8_0 GGUF quant of a rebase merge using the formula from [KatyTheCutie/LemonadeRP-4.5.3](https://huggingface.co/KatyTheCutie/LemonadeRP-4.5.3) on Mistral v0.2 7B base (instead of v0.1), for 32K context length (eliminating the 4K sliding window), with rope theta (re)set to 40K. No other changes were made. |
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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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) 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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* [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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* [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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### 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: alpindale/Mistral-7B-v0.2-hf |
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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: alpindale/Mistral-7B-v0.2-hf |
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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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``` |
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