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- README.md +54 -0
- Top-Western-Maid-7B-Q2_K.gguf +3 -0
- Top-Western-Maid-7B-Q3_K_M.gguf +3 -0
- Top-Western-Maid-7B-Q4_K_M.gguf +3 -0
- Top-Western-Maid-7B-Q5_K_M.gguf +3 -0
- Top-Western-Maid-7B-Q6_K.gguf +3 -0
.gitattributes
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README.md
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---
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base_model:
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- NeverSleep/Noromaid-7B-0.4-DPO
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- Undi95/Toppy-M-7B
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- mistralai/Mistral-7B-v0.1
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- senseable/WestLake-7B-v2
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tags:
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- mergekit
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- merge
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---
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# merge
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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/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-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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* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
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* [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B)
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* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
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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: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: senseable/WestLake-7B-v2
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parameters:
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density: 0.53
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weight: 0.55
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- model: NeverSleep/Noromaid-7B-0.4-DPO
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parameters:
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density: 0.53
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weight: 0.30
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- model: Undi95/Toppy-M-7B
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parameters:
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density: 0.53
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weight: 0.15
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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size 2719241920
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version https://git-lfs.github.com/spec/v1
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