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Model: wvnvwn/qwen-2.5-7B-Resta-lr3e-5-scale0.5 Source: Original Platform
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README.md
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README.md
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---
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base_model:
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- Qwen/Qwen2.5-7B
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- wvnvwn/qwen-2.5-7B-SSFT-lr3e-5
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- wvnvwn/qwen-2.5-7B-SSFT-gsm8k-lr3e-5
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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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# base_0.5
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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.
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### Models Merged
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The following models were included in the merge:
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* [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B)
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* [wvnvwn/qwen-2.5-7B-SSFT-lr3e-5](https://huggingface.co/wvnvwn/qwen-2.5-7B-SSFT-lr3e-5)
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* [wvnvwn/qwen-2.5-7B-SSFT-gsm8k-lr3e-5](https://huggingface.co/wvnvwn/qwen-2.5-7B-SSFT-gsm8k-lr3e-5)
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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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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, 28]
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model:
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model:
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path: wvnvwn/qwen-2.5-7B-SSFT-gsm8k-lr3e-5
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parameters:
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weight: 1.0
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- layer_range: [0, 28]
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model:
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model:
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path: wvnvwn/qwen-2.5-7B-SSFT-lr3e-5
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parameters:
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weight: 0.5
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- layer_range: [0, 28]
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model:
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model:
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path: Qwen/Qwen2.5-7B
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parameters:
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weight: -0.5
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```
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