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---
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base_model:
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- Qwen/Qwen2.5-7B
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- Qwen/Qwen2.5-Coder-7B
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- Qwen/Qwen2.5-7B-Instruct
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- Qwen/Qwen2.5-Math-7B
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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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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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---
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# nthehai01/Qwen2.5-7B-Instruct-Math-Code-breadcrumbs
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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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## Performance
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| Metric |Value|
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|---------------------------------|----:|
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|GSM8k (zero-shot) |90.06|
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|HellaSwag (zero-Shot) |82.77|
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|MBPP (zero-shot) |62.21|
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## Merge Details
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### Merge Method
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This model was merged using the [Model Breadcrumbs](https://arxiv.org/abs/2312.06795) merge method using [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) 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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* [Qwen/Qwen2.5-Coder-7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B)
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* [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
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* [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B)
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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: Qwen/Qwen2.5-7B
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dtype: bfloat16
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merge_method: breadcrumbs
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parameters:
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lambda: 0.9075603207928135
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normalize: 1.0
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slices:
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- sources:
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- layer_range: [0, 28]
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model: Qwen/Qwen2.5-7B
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- layer_range: [0, 28]
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model: Qwen/Qwen2.5-Math-7B
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parameters:
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density: 0.11722197443445775
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gamma: 0.07547691839721048
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weight: 0.17267293536872041
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- layer_range: [0, 28]
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model: Qwen/Qwen2.5-Coder-7B
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parameters:
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density: 0.48352747334554935
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gamma: 0.0753405327865558
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weight: 0.11164770709858211
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- layer_range: [0, 28]
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model: Qwen/Qwen2.5-7B-Instruct
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parameters:
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density: 0.8190520808683315
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gamma: 0.022307694128235696
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weight: 0.7626295102691242
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```
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