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README.md
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This model is a [Slerp Merge](https://github.com/cg123/mergekit/blob/main/mergekit/merge_methods/slerp.py) of [timpal0l/Mistral-7B-v0.1-flashback-v2/](https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2) and [RJuro/munin-neuralbeagle-7b](https://huggingface.co/RJuro/munin-neuralbeagle-7b).
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## config.yaml
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```yaml
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base_model: timpal0l/Mistral-7B-v0.1-flashback-v2
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parameters:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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This model is a [Slerp Merge](https://github.com/cg123/mergekit/blob/main/mergekit/merge_methods/slerp.py) of [timpal0l/Mistral-7B-v0.1-flashback-v2/](https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2) and [RJuro/munin-neuralbeagle-7b](https://huggingface.co/RJuro/munin-neuralbeagle-7b).
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## config.yaml
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```yaml
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models:
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- model: timpal0l/Mistral-7B-v0.1-flashback-v2
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# No parameters necessary for base model
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- model: RJuro/munin-neuralbeagle-7b
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parameters:
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density: 0.53
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weight: 0.6
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merge_method: dare_ties
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base_model: timpal0l/Mistral-7B-v0.1-flashback-v2
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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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