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README.md
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---
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# miquplus-xwin-70b
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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 [linear](https://arxiv.org/abs/2203.05482) merge method using /home/juk/LLMs/models/huggingface/miqu-1-70b-sf 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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* miqu-models/_miquplus-xwin-70b
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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:
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model:
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path: /home/juk/LLMs/models/huggingface/miqu-1-70b-sf
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dtype: float16
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merge_method: linear
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slices:
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- sources:
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- layer_range: [0, 80]
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model:
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model:
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path: /home/juk/LLMs/models/huggingface/miqu-1-70b-sf
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parameters:
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weight:
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- filter: v_proj
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value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
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- filter: o_proj
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value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
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- filter: up_proj
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value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
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- filter: gate_proj
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value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
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- filter: down_proj
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value: [1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0]
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- value: 1.0
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- layer_range: [0, 80]
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model:
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model:
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path: miqu-models/_miquplus-xwin-70b
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parameters:
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weight:
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- filter: v_proj
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value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
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- filter: o_proj
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value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
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- filter: up_proj
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value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
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- filter: gate_proj
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value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
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- filter: down_proj
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value: [0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0]
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- value: 0.0
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tokenizer_source: base
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```
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