| base_model: | |
| - Qwen/Qwen2.5-Math-7B | |
| - Qwen/Qwen2.5-7B-Instruct | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # Qwen2.5-7B-Instruct-Math-slerp | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| ## Performance | |
| | Metric |Value| | |
| |---------------------------------|----:| | |
| |GSM8k (zero-shot) |91.05| | |
| |HellaSwag (zero-Shot) |81.01| | |
| |MBPP (zero-shot) |61.48| | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B) | |
| * [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| base_model: Qwen/Qwen2.5-7B-Instruct | |
| dtype: bfloat16 | |
| merge_method: slerp | |
| parameters: | |
| t: 0.1 | |
| slices: | |
| - sources: | |
| - layer_range: [0, 28] | |
| model: Qwen/Qwen2.5-7B-Instruct | |
| - layer_range: [0, 28] | |
| model: Qwen/Qwen2.5-Math-7B | |
| ``` | |