| --- | |
| base_model: | |
| - Qwen/Qwen2.5-Coder-7B | |
| - Qwen/Qwen2.5-Math-7B | |
| - Qwen/Qwen2.5-7B-Instruct | |
| - Qwen/Qwen2.5-7B | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| language: | |
| - zho | |
| - eng | |
| - fra | |
| - spa | |
| - por | |
| - deu | |
| - ita | |
| - rus | |
| - jpn | |
| - kor | |
| - vie | |
| - tha | |
| - ara | |
| --- | |
| # nthehai01/Qwen2.5-7B-Instruct-Math-Code-task-arithmetic | |
| This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| ## Performance | |
| | Metric |Value| | |
| |---------------------------------|----:| | |
| |GSM8k (zero-shot) |86.20| | |
| |HellaSwag (zero-Shot) |49.91| | |
| |MBPP (zero-shot) |55.20| | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the [Task Arithmetic](https://arxiv.org/abs/2212.04089) merge method using [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [Qwen/Qwen2.5-Coder-7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B) | |
| * [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 | |
| dtype: bfloat16 | |
| merge_method: task_arithmetic | |
| parameters: | |
| lambda: 0.5676097213578511 | |
| normalize: 1.0 | |
| slices: | |
| - sources: | |
| - layer_range: [0, 28] | |
| model: Qwen/Qwen2.5-7B | |
| - layer_range: [0, 28] | |
| model: Qwen/Qwen2.5-Math-7B | |
| parameters: | |
| weight: 0.5215841338521604 | |
| - layer_range: [0, 28] | |
| model: Qwen/Qwen2.5-Coder-7B | |
| parameters: | |
| weight: 0.13680114132969845 | |
| - layer_range: [0, 28] | |
| model: Qwen/Qwen2.5-7B-Instruct | |
| parameters: | |
| weight: 0.8507353075455186 | |
| ``` | |